Proceedings the fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 15 - 18, 1999, San Diego, California, USA
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| Format: | Tagungsbericht Buch |
| Sprache: | English |
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New York, NY
Assoc. for Computing Machinery
1999
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| 245 | 1 | 0 | |a Proceedings |b the fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 15 - 18, 1999, San Diego, California, USA |c KDD-99 ; ed. by Surajit Chaudhuri ... |
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Datensatz im Suchindex
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|---|---|
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| DE-BY-TUM_media_number | 040020425401 |
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| adam_text | Table
of
Contents
Data Mining: Crossing
the Chasm
Rakesh Agrawal.............................................................................................................2
Farming the Web for Systematic Business Intelligence
Richard Hackathorn
........................................................................................................3
2001:
A Statistical Odyssey
Daryl Pregibon
................................................................................................................4
Session: Data Reduction and Scalability
Squashing Flat Files Flatter
William DuMouchel, Chris Volinsky, Theodore Johnson,
Corinna
Cortes, Daryl
Pregibon
..........................................................................................................................6
Fast and Effective Text Mining Using Linear-time Document Clustering
Björnar
Larsen, Chinatsu Aone
.....................................................................................16
Efficient
Progressive Sampling
Foster Provost, David Jensen, Tim Oates
.....................................................................23
Session: Mining Temporal Data
Event Detection From Time Series Data
Valéry Guralnik,
Jaideep Srivastava
.............................................................................33
Efficient Mining of Emerging Patterns: Discovering Trends and Differences
Guozhu Dong, Jinyan Li
...............................................................................................43
Activity Monitoring: Noticing Interesting Changes In Behavior
TomFawcett, Foster Provost
........................................................................................53
Session: Clustering Techniques
Trajectory Clustering with Mixtures of Regression Models
Scott Gaffiiey, Padhraic Smyth
.....................................................................................63
CACTUS-Clustering Categorical Data Using Summaries
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan
..........................................73
Entropy-based Subspace Clustering for Mining Numerical Data
Chun-hung Cheng, Ada Wai-chee
Fu, Yi
Zhang
..........................................................84
Session: Implementations and Applications of Data Mining
-
1
Statistics and Data Mining Techniques for Lifetime Value Modeling
D. R.
Mani,
James Drew, Andrew Betz, Piew Datta
....................................................94
IX
Mining GPS
Data to Augment Road Models
Seth Rogers, Pat Langley, Christopher Wilson
..........................................................104
Mining in a Data-flow Environment: Experience in Network Intrusion Detection
Wenke Lee,
Salvatore
J.
Stolfo, Kui W.
Mok
............................................................114
Session: Discovering Rules
-
1
Pruning and Summarizing the Discovered Associations
Bing
Liu, Wynne Hsu,Yiming Ma
..............................................................................125
Mining Optimized Gain Rules for Numeric Attributes
Sergey
Brin, Rajeev
Rastogi, Kyuseok Shim
.............................................................135
Mining the Most Interesting Rules
Roberto Bayardo, Rakesh Agrawal
.............................................................................145
Session: Classification Techniques
MetaCost: A General Method for Making Classifiers Cost-Sensitive
Pedro
Domingos
..........................................................................................................155
Extending Naive
Bayes
Classifiers Using Long
hemsets
Dimitris Meretakis, Beat
Wüthrich.............................................................................165
A Classification-based Methodology for Planning Auditing Strategies in Fraud
Detection
F. Bonchi, F. Giannotti, G. Mainetto, D. Pedreschi
....................................................175
Session: Implementation and Applications of Data Mining
-
II
Estimating Campaign Benefits and Modeling Lift
Gregory Piatetsky-Shapiro,
Brij
Masand....................................................................
185
Generalized Additive Neural Networks
William Potts
..............................................................................................................194
Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative
Filtering
Cham Aggarwal, Joel Wolf, Kun-Lung Wu, Philip Yu
.............................................201
Session: Data Mining for Database Systems
Discovering Roll-Up Dependencies
Jef Wijsen, Raymond T. Ng, Toon Calders
...............................................................213
Compressed Data Cubes for
OLAP
Aggregate Query Approximation on Continuous
Dimensions
Jayavel Shanmugasundaram, Usama Fayyad, Paul Bradley
.......................................223
Density-Based Indexing for Approximate Nearest-Neighbor Queries
Kristin Bennett, Usama Fayyad,
Dan Geiger.............................................................233
Session: Discovering Rules
-
II
Using a Knowledge Cache for Interactive Discovery of Association Rules
Biswadeep Nag,
Prasad
Deshpande, David J.
DeWitt...................................244
Using Association Rules for Product Assortment Decisions: A Case Study
Tom Brijs, Gilbert Swinnen,
Koen Vanhoof, Geert
Wets
..........................................254
A Statistical Theory for Quantitative Association Rules
Yonatan Aumann, Yehuda Lindell
..............................................................................261
A Study of Support Vectors on Model Independent Example Selection
Nadeem Ahmed Syed, Huan Liu, Kah Kay Sung
.......................................................272
Accelerating Exact k-means Algorithms with Geometric Reasoning
Dan Pelleg, Andrew Moore
........................................................................................277
Adaptive Query Processing for Time-Series Data
Yun-Wu Huang, Philip Yu
.........................................................................................282
An Ejficient Algorithm to Update Large Itemsets with Early Pruning
Necip Fazil Ayan, Abdullah Uz Tansel,
Eroi
Arkun
..................................................287
Applying General Bayesian Techniques To Improve TAN Induction
Jesús
Cerquides
...........................................................................................................292
Breaking the Barrier of Transactions: Mining Inter-Transaction Association Rules
Anthony Tung, Hongjun
Lu, Jiawei
Han, Ling Feng
..................................................297
Detecting Change in Categorical Data: Mining Contrast Sets
Stephen Bay, Michael Pazzani
....................................................................................302
Evaluating A Class of Distance-Mapping Algorithms for Data Mining and
Clustering
Jason Tsong-Li Wang, Xiong Wang, King-Ip Lin, Dennis Shasha, Bruce Shapiro,
Kaizhong Zhang
..........................................................................................................307
Fast Density Estimation Using CF-Kernel for Very Large Databases
Tian
Zhang, Raghu Ramakrishnan, Miron Livny
........................................................312
Handling Concept Drifts in Incremental Learning with Support Vector Machines
Nadeem Ahmed Syed, Huan Liu, Kah Kay Sung
.......................................................317
Identifying Distinctive Subsequences in Multivariate Time Series by Clustering
TimOates
....................................................................................................................322
Information Mining Platforms: An infrastructure for KDD rapid deployment
Corinna
Cortes, Daryl Pregibon
..................................................................................327
Interes
tingness Via What Is Not Interesting
Sigal
Sahar
..................................................................................................................332
Mining Association Rules with Multiple Minimum Supports
Bing
Liu, Wynne Hsu, Yiming Ma
.............................................................................337
Mining Features for Sequence Classification
Neal Lesh, Mohammed J. Zaki, Mitsunori Ogihara
...................................................342
Mining Lesion-Deficit Associations in a Brain Image Database
Vasileios Megalooikonomou,
Christos Davatzikos,
Edward Herskovits
...................347
On the Merits of Building Categorization Systems by Supervised Clustering
Charu Aggarwal, Stephen Gates, Philip Yu
................................................................352
Prediction with Local Patterns using Cross-Entropy
Heikki
Mannila,
Dimitry Pavlov, Padhraic Smyth
.....................................................357
The Application of AdaBoost for Distributed, Scalable and On-line Learning
Wei Fan,
Salvatore
J.
Stolfo, Junxin Zhang
................................................................362
The Impact of Changing Populations on Classifier Performance
Mark Kelly, David Hand, Niall Adams
......................................................................367
Towards Automated Synthesis of Data Mining Programs
Wray
Buntine, Bernd
Fischer, Thomas Pressburger
...................................................372
User Profiling in Personalization Applications through Rule Discovery and
Validation
Gediminas Adomavicius, Alexander Tuzhilin
............................................................377
Using Approximations to Scale Exploratory Data Analysis in Datacubes
Daniel Barbara, Xintao Wu
.........................................................................................382
Bayesian Networks for Lossless
Dataset
Compression
Scott Davies, Andrew Moore
......................................................................................387
Visual Classification: An Interactive Approach to Decision Tree Construction
Mihael
Ankerst,
Christian
Elsen,
Martin Ester,
Hans-Peter Kriegel
..........................392
Session: Text and Visualization
Text Mining: Finding Nuggets in Mountains of Text Data
Jochen Dorre,
Peter Gerstl, Roland Seiffert
................................................................398
Monitoring Newsfeed for Hot Topics
Mark Shewhart, Mark Wasson
...................................................................................402
Origami: A New Data Visualization Tool
Jen
Que
Louie, Thomas Kraay
....................................................................................405
Session: Business Intelligence
Discovery Of Fraud Rules for Telecommunications
-
Challenges and Solutions
Sanaron
Rosset,
Uzi
Murad,
Einat Neumann, Yizhak Idan,
Gadi Pinkas
..................409
Optimization Of Collection Efforts In Automobile Financing
-
A KDD supported
Environment
H. Kauderer, G. Nakhaeizadeh, F. Artiles, H. Jeromin
..............................................414
W
APS, a Data Mining Support Environment For The Planning Of Warranty And
Goodwill Costs In The Automobile Industry
E. Hotz, G. Nakhaeizadeh, B. Petzsche, H.
Spiegelberger
.........................................417
Session: KDD Systems
The PanQ Tool and EMF SQL for Complex Data Management
Damianos
Chatziantoniou
............................................... 420
xn
NonStop SQL/MX, Primitives for Knowledge Discovery
John Clear, Debbie Dunn, Brad Harvey, Michael Heytens, Peter Lohman, Abhay
Mehta, Mark Melton,
Lars Rohrberg, Ashok
Savasere,
Robert
Wehrmeister,
Melody
Xu...................................................................................................................425
Mining Interesting Knowledge Using DM-II
Bing
Liu, Wynne Jsu, Yiming Ma, Shu Chen
............................................................430
Tutorials
.........................................................................................................................435
Workshops
.....................................................................................................................436
Panels
.............................................................................................................................437
Author Index
.................................................................................................................438
ХШ
|
| any_adam_object | 1 |
| author_corporate | International Conference on Knowledge Discovery and Data Mining San Diego, Calif |
| author_corporate_role | aut |
| author_facet | International Conference on Knowledge Discovery and Data Mining San Diego, Calif |
| author_sort | International Conference on Knowledge Discovery and Data Mining San Diego, Calif |
| building | Verbundindex |
| bvnumber | BV012878254 |
| classification_rvk | SS 1999 ST 530 |
| ctrlnum | (OCoLC)634524175 (DE-599)BVBBV012878254 |
| discipline | Informatik |
| format | Conference Proceeding Book |
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| language | English |
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| publishDate | 1999 |
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| spellingShingle | Proceedings the fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 15 - 18, 1999, San Diego, California, USA Wissensextraktion (DE-588)4546354-2 gnd Data Mining (DE-588)4428654-5 gnd |
| subject_GND | (DE-588)4546354-2 (DE-588)4428654-5 (DE-588)1071861417 |
| title | Proceedings the fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 15 - 18, 1999, San Diego, California, USA |
| title_alt | KDD-99 |
| title_auth | Proceedings the fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 15 - 18, 1999, San Diego, California, USA |
| title_exact_search | Proceedings the fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 15 - 18, 1999, San Diego, California, USA |
| title_full | Proceedings the fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 15 - 18, 1999, San Diego, California, USA KDD-99 ; ed. by Surajit Chaudhuri ... |
| title_fullStr | Proceedings the fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 15 - 18, 1999, San Diego, California, USA KDD-99 ; ed. by Surajit Chaudhuri ... |
| title_full_unstemmed | Proceedings the fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 15 - 18, 1999, San Diego, California, USA KDD-99 ; ed. by Surajit Chaudhuri ... |
| title_short | Proceedings |
| title_sort | proceedings the fifth acm sigkdd international conference on knowledge discovery and data mining august 15 18 1999 san diego california usa |
| title_sub | the fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 15 - 18, 1999, San Diego, California, USA |
| topic | Wissensextraktion (DE-588)4546354-2 gnd Data Mining (DE-588)4428654-5 gnd |
| topic_facet | Wissensextraktion Data Mining Konferenzschrift 1999 San Diego Calif. |
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