Applications of artificial intelligence in finance and economics
Statistical analysis of genetic algorithms in discovering technical trading strategies / Chueh-Yung Tsao, Shu-Heng Chen -- Co-evolving neural networks with evolutionary strategies : a new application to divisia money / Jane M. Binner, Graham Kendall, Alicia Gazely -- Forecasting the EMU inflation ra...
Gespeichert in:
| Format: | Elektronisch Tagungsbericht E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Bingley, U.K.
Emerald
2004
|
| Schriftenreihe: | Advances in econometrics
v. 19 |
| Schlagworte: | |
| Online-Zugang: | DE-92 DE-863 DE-862 DE-824 DE-29 URL des Erstveröffentlichers |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
| LEADER | 00000nam a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV045302154 | ||
| 003 | DE-604 | ||
| 005 | 20190807 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 181121s2004 xx o|||| 10||| eng d | ||
| 020 | |a 9781849503037 |c electronic bk. |9 978-1-84950-303-7 | ||
| 035 | |a (ZDB-55-BME)bslw06311239 | ||
| 035 | |a (OCoLC)712350772 | ||
| 035 | |a (DE-599)BVBBV045302154 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-863 |a DE-862 |a DE-92 |a DE-824 |a DE-29 | ||
| 082 | 0 | |a 330.015195 |2 22 | |
| 245 | 1 | 0 | |a Applications of artificial intelligence in finance and economics |c edited by Jane M. Binner, Graham Kendall, and Shu-Heng Chen |
| 264 | 1 | |a Bingley, U.K. |b Emerald |c 2004 | |
| 300 | |a 1 Online-Ressource (xiii, 275 p.) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 1 | |a Advances in econometrics |v v. 19 | |
| 500 | |a Artificial intelligence is a consortium of data-driven methodologies which includes artificial neural networks, genetic algorithms, fuzzy logic, probabilistic belief networks and machine learning as its components. We have witnessed a phenomenal impact of this data-driven consortium of methodologies in many areas of studies, the economic and financial fields being of no exception. In particular, this volume of collected works will give examples of its impact on the field of economics and finance. This volume is the result of the selection of high-quality papers presented at a special session entitled 'Applications of Artificial Intelligence in Economics and Finance' at the '2003 International Conference on Artificial Intelligence' (IC-AI '03) held at the Monte Carlo Resort, Las Vegas, Nevada, USA, June 23-26 2003. The special session, organised by Jane Binner, Graham Kendall and Shu-Heng Chen, was presented in order to draw attention to the tremendous diversity and richness of the applications of artificial intelligence to problems in Economics and Finance. This volume should appeal to economists interested in adopting an interdisciplinary approach to the study of economic problems, computer scientists who are looking for potential applications of artificial intelligence and practitioners who are looking for new perspectives on how to build models for everyday operations. There are still many important Artificial Intelligence disciplines yet to be covered. Among them are the methodologies of independent component analysis, reinforcement learning, inductive logical programming, classifier systems and Bayesian networks, not to mention many ongoing and highly fascinating hybrid systems. A way to make up for their omission is to visit this subject again later. We certainly hope that we can do so in the near future with another volume of Applications of Artificial Intelligence in Economics and Finance | ||
| 520 | |a Statistical analysis of genetic algorithms in discovering technical trading strategies / Chueh-Yung Tsao, Shu-Heng Chen -- Co-evolving neural networks with evolutionary strategies : a new application to divisia money / Jane M. Binner, Graham Kendall, Alicia Gazely -- Forecasting the EMU inflation rate : linear econometric vs. non-linear computational models using genetic neural fuzzy systems / Stefan Kooths, Timo Mitze, Eric Ringhut -- Finding or not finding rules in time series / Jessica Lin, Eamonn Keogh -- A comparison of var and neural networks with genetic algorithm in forecasting price of oil / Sam Mirmirani, Hsi Cheng Li -- Searching for divisia/inflation relationships with the aggregate feedforward neural network / Vincent A. Schmidt, Jane M. Binner -- Predicting housing value : genetic algorithm attribute selection and dependence modelling utilising the gamma test / Ian D. Wilson, Antonia J. Jones, David H. Jenkins, J.A. Ware -- A genetic programming approach to model international short-term capital flow / Tina Yu, Shu-Heng Chen, Tzu-Wen Kuo -- Tools for non-linear time series forecasting in economics : an empirical comparison of regime switching vector autoregressive models and recurrent neural networks / Jane M. Binner, Thomas Elger, Birger Nilsson, Jonathan A. Tepper -- Using non-parametric search algorithms to forecast daily excess stock returns / Nathan Lael Joseph, David S. Bre, Efstathios Kalyvas | ||
| 520 | |a Artificial intelligence is a consortium of data-driven methodologies which includes artificial neural networks, genetic algorithms, fuzzy logic, probabilistic belief networks and machine learning as its components. We have witnessed a phenomenal impact of this data-driven consortium of methodologies in many areas of studies, the economic and financial fields being of no exception. In particular, this volume of collected works will give examples of its impact on the field of economics and finance. This volume is the result of the selection of high-quality papers presented at a special session entitled 'Applications of Artificial Intelligence in Economics and Finance' at the '2003 International Conference on Artificial Intelligence' (IC-AI '03) held at the Monte Carlo Resort, Las Vegas, Nevada, USA, June 23-26 2003. The special session, organised by Jane Binner, Graham Kendall and Shu-Heng Chen, was presented in order to draw attention to the tremendous diversity and richness of the applications of artificial intelligence to problems in Economics and Finance. This volume should appeal to economists interested in adopting an interdisciplinary approach to the study of economic problems, computer scientists who are looking for potential applications of artificial intelligence and practitioners who are looking for new perspectives on how to build models for everyday operations. There are still many important Artificial Intelligence disciplines yet to be covered. Among them are the methodologies of independent component analysis, reinforcement learning, inductive logical programming, classifier systems and Bayesian networks, not to mention many ongoing and highly fascinating hybrid systems. A way to make up for their omission is to visit this subject again later. We certainly hope that we can do so in the near future with another volume of Applications of Artificial Intelligence in Economics and Finance | ||
| 600 | 1 | 7 | |a bisacsh |2 bicssc |
| 650 | 4 | |a Business & Economics / Econometrics | |
| 650 | 4 | |a Business & Economics / Economics / Microeconomics | |
| 650 | 4 | |a Economics | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Econometrics / Congresses | |
| 650 | 4 | |a Economics / Data processing / Congresses | |
| 650 | 4 | |a Finance / Data processing / Congresses | |
| 650 | 0 | 7 | |a Kapitalmarkttheorie |0 (DE-588)4137411-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Ökonometrisches Modell |0 (DE-588)4043212-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Finanzmathematik |0 (DE-588)4017195-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Zeitreihenanalyse |0 (DE-588)4067486-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Ökonometrie |0 (DE-588)4132280-0 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |y 2003 |z Las Vegas, Nev. |2 gnd-content | |
| 689 | 0 | 0 | |a Kapitalmarkttheorie |0 (DE-588)4137411-3 |D s |
| 689 | 0 | 1 | |a Finanzmathematik |0 (DE-588)4017195-4 |D s |
| 689 | 0 | 2 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 689 | 1 | 0 | |a Zeitreihenanalyse |0 (DE-588)4067486-1 |D s |
| 689 | 1 | 1 | |a Ökonometrisches Modell |0 (DE-588)4043212-9 |D s |
| 689 | 1 | 2 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
| 689 | 1 | |8 2\p |5 DE-604 | |
| 689 | 2 | 0 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
| 689 | 2 | 1 | |a Ökonometrie |0 (DE-588)4132280-0 |D s |
| 689 | 2 | |8 3\p |5 DE-604 | |
| 700 | 1 | |a Binner, Jane M. |d 1961- |e Sonstige |0 (DE-588)130368822 |4 oth | |
| 700 | 1 | |a Kendall, Graham |d 1961- |e Sonstige |0 (DE-588)130368830 |4 oth | |
| 700 | 1 | |a Chen, Shu-Heng |d 1959- |e Sonstige |0 (DE-588)121139662 |4 oth | |
| 711 | 2 | |a International Conference on Artificial Intelligence |d 2003 |c Las Vegas, Nev. |j Sonstige |0 (DE-588)6081730-6 |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 0-7623-1150-9 |z 978-0-7623-1150-7 |
| 830 | 0 | |a Advances in econometrics |v v. 19 |w (DE-604)BV023055191 |9 19 | |
| 856 | 4 | 0 | |u http://www.emeraldinsight.com/0731-9053/19 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-55-BME | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 3\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-030689272 | |
| 966 | e | |u http://www.emeraldinsight.com/0731-9053/19 |l DE-92 |p ZDB-55-BME |q FHN_BME_Archiv |x Verlag |3 Volltext | |
| 966 | e | |u http://www.emeraldinsight.com/0731-9053/19 |l DE-863 |p ZDB-55-BME |q FWS_BME_Archiv |x Verlag |3 Volltext | |
| 966 | e | |u http://www.emeraldinsight.com/0731-9053/19 |l DE-862 |p ZDB-55-BME |q FWS_BME_Archiv |x Verlag |3 Volltext | |
| 966 | e | |u http://www.emeraldinsight.com/0731-9053/19 |l DE-824 |p ZDB-55-BME |q UEI_BME_Archiv |x Verlag |3 Volltext | |
| 966 | e | |u http://www.emeraldinsight.com/0731-9053/19 |l DE-29 |p ZDB-55-BME |q UER_BME_Archiv |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1819303797323726851 |
|---|---|
| any_adam_object | |
| author_GND | (DE-588)130368822 (DE-588)130368830 (DE-588)121139662 |
| building | Verbundindex |
| bvnumber | BV045302154 |
| collection | ZDB-55-BME |
| ctrlnum | (ZDB-55-BME)bslw06311239 (OCoLC)712350772 (DE-599)BVBBV045302154 |
| dewey-full | 330.015195 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 330 - Economics |
| dewey-raw | 330.015195 |
| dewey-search | 330.015195 |
| dewey-sort | 3330.015195 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| format | Electronic Conference Proceeding eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>09151nam a2200817zcb4500</leader><controlfield tag="001">BV045302154</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20190807 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">181121s2004 xx o|||| 10||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781849503037</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-84950-303-7</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-55-BME)bslw06311239</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)712350772</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045302154</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-29</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">330.015195</subfield><subfield code="2">22</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Applications of artificial intelligence in finance and economics</subfield><subfield code="c">edited by Jane M. Binner, Graham Kendall, and Shu-Heng Chen</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Bingley, U.K.</subfield><subfield code="b">Emerald</subfield><subfield code="c">2004</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xiii, 275 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Advances in econometrics</subfield><subfield code="v">v. 19</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Artificial intelligence is a consortium of data-driven methodologies which includes artificial neural networks, genetic algorithms, fuzzy logic, probabilistic belief networks and machine learning as its components. We have witnessed a phenomenal impact of this data-driven consortium of methodologies in many areas of studies, the economic and financial fields being of no exception. In particular, this volume of collected works will give examples of its impact on the field of economics and finance. This volume is the result of the selection of high-quality papers presented at a special session entitled 'Applications of Artificial Intelligence in Economics and Finance' at the '2003 International Conference on Artificial Intelligence' (IC-AI '03) held at the Monte Carlo Resort, Las Vegas, Nevada, USA, June 23-26 2003. The special session, organised by Jane Binner, Graham Kendall and Shu-Heng Chen, was presented in order to draw attention to the tremendous diversity and richness of the applications of artificial intelligence to problems in Economics and Finance. This volume should appeal to economists interested in adopting an interdisciplinary approach to the study of economic problems, computer scientists who are looking for potential applications of artificial intelligence and practitioners who are looking for new perspectives on how to build models for everyday operations. There are still many important Artificial Intelligence disciplines yet to be covered. Among them are the methodologies of independent component analysis, reinforcement learning, inductive logical programming, classifier systems and Bayesian networks, not to mention many ongoing and highly fascinating hybrid systems. A way to make up for their omission is to visit this subject again later. We certainly hope that we can do so in the near future with another volume of Applications of Artificial Intelligence in Economics and Finance</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Statistical analysis of genetic algorithms in discovering technical trading strategies / Chueh-Yung Tsao, Shu-Heng Chen -- Co-evolving neural networks with evolutionary strategies : a new application to divisia money / Jane M. Binner, Graham Kendall, Alicia Gazely -- Forecasting the EMU inflation rate : linear econometric vs. non-linear computational models using genetic neural fuzzy systems / Stefan Kooths, Timo Mitze, Eric Ringhut -- Finding or not finding rules in time series / Jessica Lin, Eamonn Keogh -- A comparison of var and neural networks with genetic algorithm in forecasting price of oil / Sam Mirmirani, Hsi Cheng Li -- Searching for divisia/inflation relationships with the aggregate feedforward neural network / Vincent A. Schmidt, Jane M. Binner -- Predicting housing value : genetic algorithm attribute selection and dependence modelling utilising the gamma test / Ian D. Wilson, Antonia J. Jones, David H. Jenkins, J.A. Ware -- A genetic programming approach to model international short-term capital flow / Tina Yu, Shu-Heng Chen, Tzu-Wen Kuo -- Tools for non-linear time series forecasting in economics : an empirical comparison of regime switching vector autoregressive models and recurrent neural networks / Jane M. Binner, Thomas Elger, Birger Nilsson, Jonathan A. Tepper -- Using non-parametric search algorithms to forecast daily excess stock returns / Nathan Lael Joseph, David S. Bre, Efstathios Kalyvas</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Artificial intelligence is a consortium of data-driven methodologies which includes artificial neural networks, genetic algorithms, fuzzy logic, probabilistic belief networks and machine learning as its components. We have witnessed a phenomenal impact of this data-driven consortium of methodologies in many areas of studies, the economic and financial fields being of no exception. In particular, this volume of collected works will give examples of its impact on the field of economics and finance. This volume is the result of the selection of high-quality papers presented at a special session entitled 'Applications of Artificial Intelligence in Economics and Finance' at the '2003 International Conference on Artificial Intelligence' (IC-AI '03) held at the Monte Carlo Resort, Las Vegas, Nevada, USA, June 23-26 2003. The special session, organised by Jane Binner, Graham Kendall and Shu-Heng Chen, was presented in order to draw attention to the tremendous diversity and richness of the applications of artificial intelligence to problems in Economics and Finance. This volume should appeal to economists interested in adopting an interdisciplinary approach to the study of economic problems, computer scientists who are looking for potential applications of artificial intelligence and practitioners who are looking for new perspectives on how to build models for everyday operations. There are still many important Artificial Intelligence disciplines yet to be covered. Among them are the methodologies of independent component analysis, reinforcement learning, inductive logical programming, classifier systems and Bayesian networks, not to mention many ongoing and highly fascinating hybrid systems. A way to make up for their omission is to visit this subject again later. We certainly hope that we can do so in the near future with another volume of Applications of Artificial Intelligence in Economics and Finance</subfield></datafield><datafield tag="600" ind1="1" ind2="7"><subfield code="a">bisacsh</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Business & Economics / Econometrics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Business & Economics / Economics / Microeconomics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Economics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Econometrics / Congresses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Economics / Data processing / Congresses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Finance / Data processing / Congresses</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Kapitalmarkttheorie</subfield><subfield code="0">(DE-588)4137411-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Ökonometrisches Modell</subfield><subfield code="0">(DE-588)4043212-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Finanzmathematik</subfield><subfield code="0">(DE-588)4017195-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Zeitreihenanalyse</subfield><subfield code="0">(DE-588)4067486-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Ökonometrie</subfield><subfield code="0">(DE-588)4132280-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</subfield><subfield code="y">2003</subfield><subfield code="z">Las Vegas, Nev.</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Kapitalmarkttheorie</subfield><subfield code="0">(DE-588)4137411-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Finanzmathematik</subfield><subfield code="0">(DE-588)4017195-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Zeitreihenanalyse</subfield><subfield code="0">(DE-588)4067486-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Ökonometrisches Modell</subfield><subfield code="0">(DE-588)4043212-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="2"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="2" ind2="0"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2="1"><subfield code="a">Ökonometrie</subfield><subfield code="0">(DE-588)4132280-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2=" "><subfield code="8">3\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Binner, Jane M.</subfield><subfield code="d">1961-</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)130368822</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kendall, Graham</subfield><subfield code="d">1961-</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)130368830</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, Shu-Heng</subfield><subfield code="d">1959-</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)121139662</subfield><subfield code="4">oth</subfield></datafield><datafield tag="711" ind1="2" ind2=" "><subfield code="a">International Conference on Artificial Intelligence</subfield><subfield code="d">2003</subfield><subfield code="c">Las Vegas, Nev.</subfield><subfield code="j">Sonstige</subfield><subfield code="0">(DE-588)6081730-6</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">0-7623-1150-9</subfield><subfield code="z">978-0-7623-1150-7</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Advances in econometrics</subfield><subfield code="v">v. 19</subfield><subfield code="w">(DE-604)BV023055191</subfield><subfield code="9">19</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.emeraldinsight.com/0731-9053/19</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-55-BME</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030689272</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://www.emeraldinsight.com/0731-9053/19</subfield><subfield code="l">DE-92</subfield><subfield code="p">ZDB-55-BME</subfield><subfield code="q">FHN_BME_Archiv</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://www.emeraldinsight.com/0731-9053/19</subfield><subfield code="l">DE-863</subfield><subfield code="p">ZDB-55-BME</subfield><subfield code="q">FWS_BME_Archiv</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://www.emeraldinsight.com/0731-9053/19</subfield><subfield code="l">DE-862</subfield><subfield code="p">ZDB-55-BME</subfield><subfield code="q">FWS_BME_Archiv</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://www.emeraldinsight.com/0731-9053/19</subfield><subfield code="l">DE-824</subfield><subfield code="p">ZDB-55-BME</subfield><subfield code="q">UEI_BME_Archiv</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://www.emeraldinsight.com/0731-9053/19</subfield><subfield code="l">DE-29</subfield><subfield code="p">ZDB-55-BME</subfield><subfield code="q">UER_BME_Archiv</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| genre | (DE-588)1071861417 Konferenzschrift 2003 Las Vegas, Nev. gnd-content |
| genre_facet | Konferenzschrift 2003 Las Vegas, Nev. |
| id | DE-604.BV045302154 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-24T06:55:04Z |
| institution | BVB |
| institution_GND | (DE-588)6081730-6 |
| isbn | 9781849503037 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030689272 |
| oclc_num | 712350772 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-92 DE-824 DE-29 |
| owner_facet | DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-92 DE-824 DE-29 |
| physical | 1 Online-Ressource (xiii, 275 p.) |
| psigel | ZDB-55-BME ZDB-55-BME FHN_BME_Archiv ZDB-55-BME FWS_BME_Archiv ZDB-55-BME UEI_BME_Archiv ZDB-55-BME UER_BME_Archiv |
| publishDate | 2004 |
| publishDateSearch | 2004 |
| publishDateSort | 2004 |
| publisher | Emerald |
| record_format | marc |
| series | Advances in econometrics |
| series2 | Advances in econometrics |
| spelling | Applications of artificial intelligence in finance and economics edited by Jane M. Binner, Graham Kendall, and Shu-Heng Chen Bingley, U.K. Emerald 2004 1 Online-Ressource (xiii, 275 p.) txt rdacontent c rdamedia cr rdacarrier Advances in econometrics v. 19 Artificial intelligence is a consortium of data-driven methodologies which includes artificial neural networks, genetic algorithms, fuzzy logic, probabilistic belief networks and machine learning as its components. We have witnessed a phenomenal impact of this data-driven consortium of methodologies in many areas of studies, the economic and financial fields being of no exception. In particular, this volume of collected works will give examples of its impact on the field of economics and finance. This volume is the result of the selection of high-quality papers presented at a special session entitled 'Applications of Artificial Intelligence in Economics and Finance' at the '2003 International Conference on Artificial Intelligence' (IC-AI '03) held at the Monte Carlo Resort, Las Vegas, Nevada, USA, June 23-26 2003. The special session, organised by Jane Binner, Graham Kendall and Shu-Heng Chen, was presented in order to draw attention to the tremendous diversity and richness of the applications of artificial intelligence to problems in Economics and Finance. This volume should appeal to economists interested in adopting an interdisciplinary approach to the study of economic problems, computer scientists who are looking for potential applications of artificial intelligence and practitioners who are looking for new perspectives on how to build models for everyday operations. There are still many important Artificial Intelligence disciplines yet to be covered. Among them are the methodologies of independent component analysis, reinforcement learning, inductive logical programming, classifier systems and Bayesian networks, not to mention many ongoing and highly fascinating hybrid systems. A way to make up for their omission is to visit this subject again later. We certainly hope that we can do so in the near future with another volume of Applications of Artificial Intelligence in Economics and Finance Statistical analysis of genetic algorithms in discovering technical trading strategies / Chueh-Yung Tsao, Shu-Heng Chen -- Co-evolving neural networks with evolutionary strategies : a new application to divisia money / Jane M. Binner, Graham Kendall, Alicia Gazely -- Forecasting the EMU inflation rate : linear econometric vs. non-linear computational models using genetic neural fuzzy systems / Stefan Kooths, Timo Mitze, Eric Ringhut -- Finding or not finding rules in time series / Jessica Lin, Eamonn Keogh -- A comparison of var and neural networks with genetic algorithm in forecasting price of oil / Sam Mirmirani, Hsi Cheng Li -- Searching for divisia/inflation relationships with the aggregate feedforward neural network / Vincent A. Schmidt, Jane M. Binner -- Predicting housing value : genetic algorithm attribute selection and dependence modelling utilising the gamma test / Ian D. Wilson, Antonia J. Jones, David H. Jenkins, J.A. Ware -- A genetic programming approach to model international short-term capital flow / Tina Yu, Shu-Heng Chen, Tzu-Wen Kuo -- Tools for non-linear time series forecasting in economics : an empirical comparison of regime switching vector autoregressive models and recurrent neural networks / Jane M. Binner, Thomas Elger, Birger Nilsson, Jonathan A. Tepper -- Using non-parametric search algorithms to forecast daily excess stock returns / Nathan Lael Joseph, David S. Bre, Efstathios Kalyvas bisacsh bicssc Business & Economics / Econometrics Business & Economics / Economics / Microeconomics Economics Artificial intelligence Econometrics / Congresses Economics / Data processing / Congresses Finance / Data processing / Congresses Kapitalmarkttheorie (DE-588)4137411-3 gnd rswk-swf Ökonometrisches Modell (DE-588)4043212-9 gnd rswk-swf Finanzmathematik (DE-588)4017195-4 gnd rswk-swf Zeitreihenanalyse (DE-588)4067486-1 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Ökonometrie (DE-588)4132280-0 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2003 Las Vegas, Nev. gnd-content Kapitalmarkttheorie (DE-588)4137411-3 s Finanzmathematik (DE-588)4017195-4 s Künstliche Intelligenz (DE-588)4033447-8 s 1\p DE-604 Zeitreihenanalyse (DE-588)4067486-1 s Ökonometrisches Modell (DE-588)4043212-9 s 2\p DE-604 Ökonometrie (DE-588)4132280-0 s 3\p DE-604 Binner, Jane M. 1961- Sonstige (DE-588)130368822 oth Kendall, Graham 1961- Sonstige (DE-588)130368830 oth Chen, Shu-Heng 1959- Sonstige (DE-588)121139662 oth International Conference on Artificial Intelligence 2003 Las Vegas, Nev. Sonstige (DE-588)6081730-6 oth Erscheint auch als Druck-Ausgabe 0-7623-1150-9 978-0-7623-1150-7 Advances in econometrics v. 19 (DE-604)BV023055191 19 http://www.emeraldinsight.com/0731-9053/19 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Applications of artificial intelligence in finance and economics Advances in econometrics bisacsh bicssc Business & Economics / Econometrics Business & Economics / Economics / Microeconomics Economics Artificial intelligence Econometrics / Congresses Economics / Data processing / Congresses Finance / Data processing / Congresses Kapitalmarkttheorie (DE-588)4137411-3 gnd Ökonometrisches Modell (DE-588)4043212-9 gnd Finanzmathematik (DE-588)4017195-4 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Ökonometrie (DE-588)4132280-0 gnd |
| subject_GND | (DE-588)4137411-3 (DE-588)4043212-9 (DE-588)4017195-4 (DE-588)4067486-1 (DE-588)4033447-8 (DE-588)4132280-0 (DE-588)1071861417 |
| title | Applications of artificial intelligence in finance and economics |
| title_auth | Applications of artificial intelligence in finance and economics |
| title_exact_search | Applications of artificial intelligence in finance and economics |
| title_full | Applications of artificial intelligence in finance and economics edited by Jane M. Binner, Graham Kendall, and Shu-Heng Chen |
| title_fullStr | Applications of artificial intelligence in finance and economics edited by Jane M. Binner, Graham Kendall, and Shu-Heng Chen |
| title_full_unstemmed | Applications of artificial intelligence in finance and economics edited by Jane M. Binner, Graham Kendall, and Shu-Heng Chen |
| title_short | Applications of artificial intelligence in finance and economics |
| title_sort | applications of artificial intelligence in finance and economics |
| topic | bisacsh bicssc Business & Economics / Econometrics Business & Economics / Economics / Microeconomics Economics Artificial intelligence Econometrics / Congresses Economics / Data processing / Congresses Finance / Data processing / Congresses Kapitalmarkttheorie (DE-588)4137411-3 gnd Ökonometrisches Modell (DE-588)4043212-9 gnd Finanzmathematik (DE-588)4017195-4 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Ökonometrie (DE-588)4132280-0 gnd |
| topic_facet | bisacsh Business & Economics / Econometrics Business & Economics / Economics / Microeconomics Economics Artificial intelligence Econometrics / Congresses Economics / Data processing / Congresses Finance / Data processing / Congresses Kapitalmarkttheorie Ökonometrisches Modell Finanzmathematik Zeitreihenanalyse Künstliche Intelligenz Ökonometrie Konferenzschrift 2003 Las Vegas, Nev. |
| url | http://www.emeraldinsight.com/0731-9053/19 |
| volume_link | (DE-604)BV023055191 |
| work_keys_str_mv | AT binnerjanem applicationsofartificialintelligenceinfinanceandeconomics AT kendallgraham applicationsofartificialintelligenceinfinanceandeconomics AT chenshuheng applicationsofartificialintelligenceinfinanceandeconomics AT internationalconferenceonartificialintelligencelasvegasnev applicationsofartificialintelligenceinfinanceandeconomics |