Machine learning and data mining in pattern recognition 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings
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2011
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Schriftenreihe: | Lecture notes in computer science
6871 : Lecture notes in artificial intelligence |
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264 | 1 | |a Berlin [u.a.] |b Springer |c 2011 | |
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adam_text |
IMAGE 1
TABLE OF CONTENTS
CLASSIFICATION AND DECISION THEORY
QUADRATICALLY CONSTRAINED MAXIMUM A POSTERIORI ESTIMATION FOR BINARY
CLASSIFIER 1
TATSUYA YOKOTA AND YUKIHIKO YAMASHITA
HUBNESS-BASED FUZZY MEASURES FOR HIGH-DIMENSIONAL /C-NEAREST NEIGHBOR
CLASSIFICATION 16
NENAD TOMASEV, MILOS RADOVANOVIC, DUNJA MLADENIC, AND MIRJANA IVANOVIC
DECISIONS: ALGEBRA AND IMPLEMENTATION 31
ANTONINA DANYLENKO, JONAS LUNDBERG, AND WEI} LOEWE
SMOOTHING MULTINOMIAL NAIVE BAYES IN THE PRESENCE OF IMBALANCE 46
ALEXANDER Y. LIU AND CHERYL E. MARTIN
ACE-COST: ACQUISITION COST EFFICIENT CLASSIFIER BY HYBRID DECISION TREE
WITH LOCAL SVM LEAVES 60
LIYUN LI, UMUT TOPKARA, AND NASIR MEMON
INFORMATIVE VARIABLES SELECTION FOR MULTI-RELATIONAL SUPERVISED LEARNING
75
DHAFER LAHBIB, MARC BOULLE, AND DOMINIQUE LAURENT
SEPARABILITY OF SPLIT VALUE CRITERION WITH WEIGHTED SEPARATION GAINS .
. 88 KRZYSZTOF GRQBCZEWSKI
GRANULAR INSTANCES SELECTION FOR FUZZY MODELING 99
S. SAKINAH S. AHMAD AND WITOLD PEDRYCZ
PARAMETER-FREE ANOMALY DETECTION FOR CATEGORICAL DATA 112 SHU WU AND
SHENGRUI WANG
FUZZY SEMI-SUPERVISED SUPPORT VECTOR MACHINES 127
HOUDA BENBRAHIM
GENCCS: A CORRELATED GROUP DIFFERENCE APPROACH TO CONTRAST SET MINING
140
MONDELLE SIMEON AND ROBERT HILDERMAN
COLLECTIVE CLASSIFICATION USING HETEROGENEOUS CLASSIFIERS 155 ZEHRA
CATALTEPE, ABDULLAH SONMEZ, KADRIYE BAGLIOGLU, AND AY SE ERZAN
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/1013510976
DIGITALISIERT DURCH
IMAGE 2
X TABLE OF CONTENTS
SPHERICAL NEAREST NEIGHBOR CLASSIFICATION: APPLICATION TO HYPERSPECTRAL
DATA 170
DALTON LUNGA AND OKAN ERSOY
ADAPTIVE KERNEL DIVERSE DENSITY ESTIMATE FOR MULTIPLE INSTANCE LEARNING
185
TAO XU, IKER GONDRA, AND DAVID CHIU
BOOSTING INSPIRED PROCESS FOR IMPROVING AUC 199
VICTOR S. SHENG AND RAHUL TADA
THEORY OF LEARNING
INVESTIGATION IN TRANSFER LEARNING: BETTER WAY TO APPLY TRANSFER
LEARNING BETWEEN AGENTS 210
LUIZ ANTONIO CELIBERTO JUNIOR AND JACKSON P. MATSUURA
EXPLORATION STRATEGIES FOR LEARNED PROBABILITIES IN SMART TERRAIN 224
JOHN SULLINS
SENSITIVITY ANALYSIS FOR WEAK CONSTRAINT GENERATION 239 JAMSHAID G.
MOHEBZADA, MICHAEL M. RICHTER, AND GUENTHER RUHE
DICTIONARY LEARNING BASED ON LAPLACIAN SCORE IN SPARSE CODING 253 JIN XU
AND HONG MAN
CLUSTERING
A PRACTICAL APPROACH FOR CLUSTERING TRANSACTION DATA 265 MOHAMED
BOUGUESSA
HIERARCHICAL CLUSTERING WITH HIGH ORDER DISSIMILARITIES 280 HELENA AIDOS
AND ANA FRED
CLUST-XPATHS: CLUSTERING OF XML PATHS 294
AMINA MADANI, OMAR BOUSSAID, AND DJAMEL EDDINE ZEGOUR
COMPARING CLUSTERING AND METACLUSTERING ALGORITHMS 306 ELIO LOZANO AND
EDGAR ACUNA
APPLICATIONS IN MEDICINE
DETECTION OF PHENOTYPES IN MICROARRAY DATA USING FORCE-DIRECTED
PLACEMENT TRANSFORMS 320
DRAGANA VELJKOVIC PEREZ AND KAY A. ROBBINS
ON THE TEMPORAL BEHAVIOR OF EEG RECORDED DURING REAL FINGER MOVEMENT 335
BASHAR AWWAD SHIEKH HASAN
IMAGE 3
TABLE OF CONTENTS XI
A MACHINE LEARNING AND DATA MINING FRAMEWORK TO ENABLE EVOLUTIONARY
IMPROVEMENT IN TRAUMA TRIAGE 348
DOUGLAS A. TALBERT, MATT HONEYCUTT, AND STEVE TALBERT
A DECISION SUPPORT SYSTEM BASED ON THE SEMANTIC ANALYSIS OF MELANOMA
IMAGES USING MULTI-ELITIST PSO AND SVM 362
WERONIKA PIATKOWSKA, JERZY MARTYNA, LESZEK NOWAK, AND KAROL PRZYSTALSKI
WEBMINING/INFORMATION MINING
AUTHORSHIP SIMILARITY DETECTION FROM EMAIL MESSAGES 375
XIAOLING CHEN, PENG HAO, R. CHANDRAMOULI, AND K.P. SUBBALAKSHMI
AN INVESTIGATION CONCERNING THE GENERATION OF TEXT SUMMARISATION
CLASSIFIERS USING SECONDARY DATA 387
MATIAS G ARDA-CONSTANTINO, FRANS COENEN, P.-J. NOBLE, ALAN RAD}ORD,
CHRISTIAN SETZKORN, AND AINE TIERNEY
COMPARING THE ONE-VS-ONE AND ONE-VS-ALL METHODS IN BENTHIC
MACROINVERTEBRATE IMAGE CLASSIFICATION 399
HENRY JOUTSIJOKI AND MARTTI JUHOLA
INCREMENTAL WEB-SITE BOUNDARY DETECTION USING RANDOM WALKS 414 AYESH
ALSHUKRI, FRANS COENEN, AND MICHELE ZITO
DISCOVERING TEXT PATTERNS BY A NEW GRAPHIC MODEL 428
MINHUA HUANG AND ROBERT M. HARALICK
TOPIC SENTIMENT CHANGE ANALYSIS 443
YU JIANG, WEIYI MENG, AND CLEMENT YU
ADAPTIVE CONTEXT MODELING FOR DECEPTION DETECTION IN EMAILS 458 PENG
HAO, XIAOLING CHEN, NA CHENG, R. CHANDRAMOULI, AND K.P. SUBBALAKSHMI
CONTRASTING CORRELATIONS BY AN EFFICIENT DOUBLE-CLIQUE CONDITION 469
AIXIANG LI, MAKOTO HARAGUCHI, AND YOSHIAKI OKUBO
MACHINE LEARNING AND IMAGE MINING
ESTIMATING IMAGE SEGMENTATION DIFFICULTY 484
DINGDING LIU, YINGEN XIONG, KARI PULLI, AND LINDA SHAPIRO
MINING SPATIAL TRAJECTORIES USING NON-PARAMETRIC DENSITY FUNCTIONS . .
496 CHUN-SHENG CHEN, CHRISTOPH F. EICK, AND NOUHAD J. RIZK
IMAGE 4
XII TABLE OF CONTENTS
EXPLORING SYNERGETIC EFFECTS OF DIMENSIONALITY REDUCTION AND RESAMPLING
TOOLS ON HYPERSPECTRAL IMAGERY DATA CLASSIFICATION 511 J.S. SANCHEZ, V.
GARCIA, AND R.A. MOLLINEDA
A COMPARISON BETWEEN HARALICK'S TEXTURE DESCRIPTOR AND THE TEXTURE
DESCRIPTOR BASED ON RANDOM SETS FOR BIOLOGICAL IMAGES 524 ANJA ATTIG AND
PETRA PERNER
TIME SERIES AND FREQUENT ITEM SET MINING
UNSUPERVISED DISCOVERY OF MOTIFS UNDER AMPLITUDE SCALING AND SHIFTING IN
TIME SERIES DATABASES 539
TOM ARMSTRONG AND ERIC DREWNIAK
STATIC LOAD BALANCING OF PARALLEL MINING OF FREQUENT ITEMSETS USING
RESERVOIR SAMPLING 553
ROBERT KESSL
GA-TVRC: A NOVEL RELATIONAL TIME VARYING CLASSIFIER TO EXTRACT TEMPORAL
INFORMATION USING GENETIC ALGORITHMS 568
ISMAIL GUENES, ZEHRA CATALTEPE, AND SULE GUENDUEZ OEGUEDUECUE
ASPECTS OF MACHINE LEARNING AND DATA MINING
DETECTION OF COMMUNITIES AND BRIDGES IN WEIGHTED NETWORKS 584 TANWISTHA
SAHA, CARLOTTA DOMENICONI, AND HUZE}A RANGWALA
TECHNIQUES FOR IMPROVING FILTERS IN POWER GRID CONTINGENCY ANALYSIS 599
ROBERT ADOL}, DAVID HAGLIN, MAHANTESH HALAPPANAVAR, YOUSU CHEN, AND
ZHENYU HUANG
AUTHOR INDEX 613 |
any_adam_object | 1 |
author_GND | (DE-588)121364232 |
building | Verbundindex |
bvnumber | BV039562423 |
classification_rvk | SS 4800 |
classification_tum | DAT 708f |
ctrlnum | (OCoLC)748705539 (DE-599)DNB1013510976 |
dewey-full | 006.31 006.42 006.312 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.31 006.42 006.312 |
dewey-search | 006.31 006.42 006.312 |
dewey-sort | 16.31 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Conference Proceeding Book |
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genre_facet | Konferenzschrift 2011 New York, NY |
id | DE-604.BV039562423 |
illustrated | Illustrated |
indexdate | 2025-01-27T13:36:30Z |
institution | BVB |
institution_GND | (DE-588)16168985-1 |
isbn | 9783642231988 3642231985 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-024414055 |
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open_access_boolean | |
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owner_facet | DE-706 DE-83 DE-91G DE-BY-TUM |
physical | XII, 614 S. Ill., graph. Darst. 24 cm |
publishDate | 2011 |
publishDateSearch | 2011 |
publishDateSort | 2011 |
publisher | Springer |
record_format | marc |
series | Lecture notes in computer science |
series2 | Lecture notes in computer science |
spelling | Machine learning and data mining in pattern recognition 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings Petra Perner (ed.) Berlin [u.a.] Springer 2011 XII, 614 S. Ill., graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Lecture notes in computer science 6871 : Lecture notes in artificial intelligence Literaturangaben Multimedia (DE-588)4192358-3 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Automatische Klassifikation (DE-588)4120957-6 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2011 New York, NY gnd-content Data Mining (DE-588)4428654-5 s Maschinelles Lernen (DE-588)4193754-5 s Mustererkennung (DE-588)4040936-3 s Automatische Klassifikation (DE-588)4120957-6 s DE-604 Multimedia (DE-588)4192358-3 s Perner, Petra 1958- Sonstige (DE-588)121364232 oth MLDM 7 2011 New York, NY Sonstige (DE-588)16168985-1 oth Erscheint auch als Online-Ausgabe Machine Learning and Data Mining in Pattern Recognition Lecture notes in computer science 6871 : Lecture notes in artificial intelligence (DE-604)BV000000607 6871 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3853509&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024414055&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Machine learning and data mining in pattern recognition 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings Lecture notes in computer science Multimedia (DE-588)4192358-3 gnd Data Mining (DE-588)4428654-5 gnd Automatische Klassifikation (DE-588)4120957-6 gnd Mustererkennung (DE-588)4040936-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
subject_GND | (DE-588)4192358-3 (DE-588)4428654-5 (DE-588)4120957-6 (DE-588)4040936-3 (DE-588)4193754-5 (DE-588)1071861417 |
title | Machine learning and data mining in pattern recognition 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings |
title_auth | Machine learning and data mining in pattern recognition 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings |
title_exact_search | Machine learning and data mining in pattern recognition 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings |
title_full | Machine learning and data mining in pattern recognition 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings Petra Perner (ed.) |
title_fullStr | Machine learning and data mining in pattern recognition 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings Petra Perner (ed.) |
title_full_unstemmed | Machine learning and data mining in pattern recognition 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings Petra Perner (ed.) |
title_short | Machine learning and data mining in pattern recognition |
title_sort | machine learning and data mining in pattern recognition 7th international conference mldm 2011 new york ny usa august 30 september 3 2011 proceedings |
title_sub | 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings |
topic | Multimedia (DE-588)4192358-3 gnd Data Mining (DE-588)4428654-5 gnd Automatische Klassifikation (DE-588)4120957-6 gnd Mustererkennung (DE-588)4040936-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
topic_facet | Multimedia Data Mining Automatische Klassifikation Mustererkennung Maschinelles Lernen Konferenzschrift 2011 New York, NY |
url | http://deposit.dnb.de/cgi-bin/dokserv?id=3853509&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024414055&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV000000607 |
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