KDD 2001: proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ; August 26 - 29, 2001, San Francisco, CA, USA
Gespeichert in:
| Körperschaft: | |
|---|---|
| Format: | Tagungsbericht Buch |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Assoc. for Computing Machinery
2001
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XV, 483 S. |
| ISBN: | 158113391X |
Internformat
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Datensatz im Suchindex
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| adam_text | Table
of Contents
Challenges for Knowledge Discovery in Biology
Russ Altman,
Stanford University
.........................................................................2
Extracting Targeted Data from the Web
Tom Mitchell, WhizBang! Labs and Carnegie Mellon University
...........................3
Mass Collaboration and Data Mining
Raghu Ramakrishnan, QUIQ and University of Wisconsin-Madison
....................4
Applications of Generalized Support Vector Machines to Predictive Modeling
Nitin Agrawal, KXEN
............................................................................................6
Data Mining: Are We There Yet?
Herb
Edelstein,
Two Crows Corporation
...............................................................7
Mining E-Commerce Data: The Good, the Bad, and the Ugly
Ron Kohavi, Blue Martini Software
.......................................................................8
Data Mining Platform for Database Developers
Amir
Netz,
Microsoft
...........................................................................................14
Recommender Systems in Commerce and Community
John
Riedl,
NetPerceptions Inc. and University of Minnesota
............................15
The DGX Distribution for Mining Massive Skewed Data
Zhiqiang Bi,
Christos
Faloutsos, Flip
Korn
..........................................................17
Data Mining Criteria for Tree-Based Regression and Classification
Andreas
Buja,
Yung-Seop Lee
...........................................................................27
Probabilistic Modeling of Transaction Data with Applications to Profiling,
Visualization, and
Prediďion
Igor V. Cadez, Padhraic Smyth,
Heikki
Mannila.................................................37
GESS: A Scalable Similarity-Join Algorithm for Mining Large Data Sets in High
Dimensional Spaces
Jens-Peter Dittrich,
Bernhard Seeger.................................................................47
Mining the Network Value of Customers
Pedro
Domingos, Matt
Richardson
.....................................................................57
Empirical
Bayes
Screening for Multi-Item Associations
William DuMouchel, Daryl Pregibon
...................................................................67
Xl
Proximal
Support
Vector Machine Classifiers
Glenn Fung, Olvi L. Mangasarian
.......................................................................77
Data Mining with Sparse Grids Using Simplicial Basis Functions
Jochen
Garcke, Michael Griebel
........................................................................87
Mining Time-Changing Data Streams
Geoff Hulten, Laurie Spencer, Pedro
Domingos
.................................................97
Visualizing Multi-dimensional Clusters, Trends, and Outliers Using Star
Coordinates
EserKandogan
.................................................................................................107
Ensemble-Index: A New Approach to Indexing Large Databases
Eamonn Keogh, Selina
Chu,
Michael Pazzani
..................................................117
Robust Space Transformations for Distance-based Operations
Edwin M.
Knorr,
Raymond T. Ng, Ruben H. Zamar
..........................................126
Molecular Feature Mining in
HIV
Data
Stefan Kramer,
Luc De Raedt, Christoph
Helma..............................................
136
Discovering Unexpected Information
f
ют
Your Competitors Web Sites
Bing
Liu, Yiming Ma, Philip S. Yu
.....................................................................144
Personalization from Incomplete Data: What You
Doni
Know Can Hurt
Balaji Padmanabhan, Zhiqiang Zheng, Steven O. Kimbrough
.........................154
Probabilistic Query Models for Transaction Data
Dmitry Pavlov, Padhraic Smyth
........................................................................164
Extrading
Collective Probabilistic Forecasts from Web Games
David M. Pennock, Steve Lawrence, Finn Arup Nielsen,
С
Lee Giles
.............174
Tri-Plots: Scalable Tools for Multidimensional Data Mining
Agma
Traina,
Caetano
Traina,
Spiros
Papadimitriou,
Christos Faloutsos........184
Efficient
Discovery
of Error-Tolerant Frequent
Itemsets in
High Dimensions
Cheng Yang, Usama Fayyad, Paul S. Bradley
.................................................194
Learning and Making Decisions When Costs and Probabilities are Both Unknown
Bianca
Zadrozny, Charles
Elkan
.......................................................................204
Data Mining Case Study: Modeling the Behavior of Offenders Who Commit Serious
Sexual Assaults
Richard Addertey, Peter
B. Musgrove
...............................................................215
A Human-Computer Cooperative System for Effective High Dimensional Clustering
Charu
C. Aggarwal
...........................................................................................221
Mining Massively Incomplete Data Sets by Conceptual Reconstruction
Charu
С
Aggarwal, Srinivasan Parthasarathy
.................................................227
Evaluating the Novelty of Text-Mined Rules Using Lexical Knowledge
Sugato
Basu,
Raymond
J.
Mooney, Krupakar V. Pasupuleti, Joydeep Ghosh
. 233
xu
Fast Ordering of Large Categorical
Datasets
for Better Visualization
Alina
Beygelzimer, Chang-Shing Perng, Sheng Ma
.........................................239
Random Projection in Dimensionality Reduction: Application to Image and Text
Data
Ella Bingham,
Heikki
Mannila...........................................................................245
Gaining Insights into Support Vector Machine Pattern Classifiers Using Projection-
Based Tour Methods
Doina
Caragea, Dianne Cook, Vasant
Honavar
...............................................251
PVA: A Self-Adaptive Personal View Agent System
Chien
Chin Chen,
Meng
Chang Chen, Yeali Sun
.............................................257
A Robust and Scalable Clustering Algorithm for Mixed Type Attributes in Large
Database Environment
Tom
Chiu,
DongPing Fang, John Chen, Yao Wang, Christopher Jens
.............263
Co-Clustering Documents and Words Using Bipartite Spectral Graph Partitioning
Inderjit S. Dhillon
..............................................................................................269
A Spectral Method to Separate Disconnected and Neariy-Disconnected Web
Graph Components
Chris H.Q. Ding, Xiaofeng He, Hongyuan Zha
.................................................275
Clustering Spatial Data Using Random Walks
David
Harel,
Yehuda
Koren
..............................................................................281
Solving Regression Problems with Rule-based Ensemble Classifiers
Nitin Indurkhya, Sholom M. Weiss
....................................................................287
Mining
Top
-п
Local Outliers in Large Databases
Wen Jin, Anthony
K. H.
Tung, Jiawei Han
........................................................293
Generalized Clustering, Supervised Learning, and Data Assignment
Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoon Yoo
...............................299
Mining A Stream of Transactions for Customer Patterns
Diane Lambert,
José C.
Pinheiro
......................................................................305
The Distributed Boosting Algorithm
Aleksandar
Lazarevic,
Zoran
Obradovic
............................................................311
Induction of Semantic Classes from Natural Language Text
Dekang Lin, Patrick
Pantei
...............................................................................317
DIRT-Discovery of Inference Rules from Text
Dekang Lin, Patrick
Pantei
...............................................................................323
Identifying Non-Actionable Association Rules
Bing
Liu, Wynne Hsu, Yiming Ma
.....................................................................329
Discovering the Set of Fundamental Rule Changes
Bing
Liu, Wynne Hsu, Yiming Ma
.....................................................................335
Finding Simple Intensity Descriptions from Event Sequence Data
Heikki
Mannila, Marko Salmenkivi....................................................................341
хш
Data Filtering for Automatic Classification of Rocks from Reflectance Spectra
Jonathan Moody,
Ricardo Silva,
Joseph Vanderwaart
......................................347
Mining Frequent Neighboring Class Sets in Spatial Databases
Yasuhiko Morimoto
...........................................................................................353
Experimental Comparisons of Online and Batch Versions of Bagging and Boosting
Nikunj
С
Oza, Stuart Russell
...........................................................................359
TreeDT: Gene Mapping by Tree Disequilibrium Test
Petteri Sevon, Hannu T.T. Toivonen, Vesa Ollikainen
.......................................365
Detecting Graph-Based Spatial Outliers: Algorithms and Applications (A Summary
of Results)
Shashi Shekhar, Chang-Tien
Lu, Pusheng
Zhang
..........................................371
A Streaming Ensemble Algorithm (SEA) for Large-Scale Classification
W. Nick Street, YongSeog Kim
.........................................................................377
Discovering Associations with Numeric Variables
Geoffrey I. Webb
..............................................................................................383
Discovering Outlier Filtering Rules from Unlabeled Data
Kenji Yamanishi, Jun-ichi Takeuchi
...................................................................389
InfoMiner: Mining Surprising Periodic Patterns
Jiong Yang, Wei Wang, Philip S. Yu
.................................................................395
Real Worid Performance of Association Rule Algorithms
Zijian Zheng, Ron Kohavi, Llew Mason
............................................................401
Segmentation-Based Modeling for Advanced Targeted Marketing
С
Apte,
E.
Bibelnieks,
R. Natarajan, E. Pednault, F. Tipu, D. Campbell, B.
Nelson..............................................................................................................408
Interactive
Path Analysis of
Web Site
Traffic
Pavel Berkhin, Jonathan
D.
Becher,
Dee Jay Randall
......................................414
Estimating Business Targets
Piew Datta, James H. Drew, Andrew Betz,
D. R.
Mani, Jeffery
Howard
.......420
Magical Thinking in Data Mining: Lessons From ColL Challenge
2000
Charles
Elkan
...................................................................................................426
REVI-MINER, a KDD-Environment for Deviation Detection and Analysis of
Warranty and Goodwill Cost Statements in Automotive Industry
E. Hotz, U. Grimmer, W.
Heuser,
G. Nakhaeizadeh, M.
Wieczorek
..................432
Data Mining Techniques to Improve Forecast Accuracy in Airline Business
Christoph Hueglin,
Francesco Vannotti
............................................................438
Mining from Open Answers in Questionnaire Data
Hang Li, Kenji Yamanishi
..................................................................................443
XIV
Funnel Report Mining for the MSN Network
Teresa
Mah,
Hank
Hoek,
Ying Li
......................................................................450
Evaluation of Prediction Models for Marketing Campaigns
Saharon
Rosset, Einat
Neumann,
Uri Eick
.......................................................456
Knowledge Base Maintenance Using Knowledge Gap Analysis
Scott
Spangler,
Jeffrey Kreulen
........................................................................462
Mining User Session Data to Facilitate User Interaction with a Customer Service
Knowledge Base in RightNow Web
Doug Warner, J. Neal
Richter,
Stephen D.
Durbin, Bikramjit
Banerjee
.............467
Mining Web Logs for Prediction Models in WWW Caching and Prefetching
Qiang Yang, Haining Henry Zhang, Tianyi Li
....................................................473
Tutorials
...............................................................................................................479
Workshops
..........................................................................................................480
Panels
..................................................................................................................481
Author Index
........................................................................................................482
XV
|
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| spelling | International Conference on Knowledge Discovery and Data Mining 7 2001 San Francisco, Calif. Verfasser (DE-588)10044883-5 aut KDD 2001 proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ; August 26 - 29, 2001, San Francisco, CA, USA ed. by: Foster Provost ... New York, NY Assoc. for Computing Machinery 2001 XV, 483 S. txt rdacontent n rdamedia nc rdacarrier Data Mining (DE-588)4428654-5 gnd rswk-swf Wissensextraktion (DE-588)4546354-2 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2001 San Francisco Calif. gnd-content Wissensextraktion (DE-588)4546354-2 s DE-604 Data Mining (DE-588)4428654-5 s Provost, Foster Sonstige oth Digitalisierung TU Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009965619&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | KDD 2001 proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ; August 26 - 29, 2001, San Francisco, CA, USA Data Mining (DE-588)4428654-5 gnd Wissensextraktion (DE-588)4546354-2 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4546354-2 (DE-588)1071861417 |
| title | KDD 2001 proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ; August 26 - 29, 2001, San Francisco, CA, USA |
| title_auth | KDD 2001 proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ; August 26 - 29, 2001, San Francisco, CA, USA |
| title_exact_search | KDD 2001 proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ; August 26 - 29, 2001, San Francisco, CA, USA |
| title_full | KDD 2001 proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ; August 26 - 29, 2001, San Francisco, CA, USA ed. by: Foster Provost ... |
| title_fullStr | KDD 2001 proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ; August 26 - 29, 2001, San Francisco, CA, USA ed. by: Foster Provost ... |
| title_full_unstemmed | KDD 2001 proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ; August 26 - 29, 2001, San Francisco, CA, USA ed. by: Foster Provost ... |
| title_short | KDD 2001 |
| title_sort | kdd 2001 proceedings of the seventh acm sigkdd international conference on knowledge discovery and data mining august 26 29 2001 san francisco ca usa |
| title_sub | proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ; August 26 - 29, 2001, San Francisco, CA, USA |
| topic | Data Mining (DE-588)4428654-5 gnd Wissensextraktion (DE-588)4546354-2 gnd |
| topic_facet | Data Mining Wissensextraktion Konferenzschrift 2001 San Francisco Calif. |
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