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kdd | Knowledge Discovery and Data Mining (KDD)

  • 主办方 / 出版社:ACM
  • 方向:数据挖掘
  • CCF等级 / JCR分区:A类类
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24 - 27, 2003.
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On-line science: the world-wide telescope as a prototype for the new computational science.

Jim Gray

Statistical learning from relational data.

Daphne Koller

Analyzing customer behavior at Amazon.com.

Andreas S. Weigend

Towards systematic design of distance functions for data mining applications.

Charu C. Aggarwal

Generative model-based clustering of directional data.

Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra

Mining distance-based outliers in near linear time with randomization and a simple pruning rule.

Stephen D. Bay, Mark Schwabacher

Adaptive duplicate detection using learnable string similarity measures.

Mikhail Bilenko, Raymond J. Mooney

An iterative hypothesis-testing strategy for pattern discovery.

Richard J. Bolton, Niall M. Adams

Efficient data reduction with EASE.

Hervé Brönnimann, Bin Chen, Manoranjan Dash, Peter J. Haas, Peter Scheuermann

Extracting semantics from data cubes using cube transversals and closures.

Alain Casali, Rosine Cicchetti, Lotfi Lakhal

Translation-invariant mixture models for curve clustering.

Darya Chudova, Scott Gaffney, Eric Mjolsness, Padhraic Smyth

Information-theoretic co-clustering.

Inderjit S. Dhillon, Subramanyam Mallela, Dharmendra S. Modha

SEWeP: using site semantics and a taxonomy to enhance the Web personalization process.

Magdalini Eirinaki, Michalis Vazirgiannis, Iraklis Varlamis

Inverted matrix: efficient discovery of frequent items in large datasets in the context of interactive mining.

Mohammad El-Hajj, Osmar R. Zaïane

To buy or not to buy: mining airfare data to minimize ticket purchase price.

Oren Etzioni, Rattapoom Tuchinda, Craig A. Knoblock, Alexander Yates

Fragments of order.

Aristides Gionis, Teija Kujala, Heikki Mannila

Maximizing the spread of influence through a social network.

David Kempe, Jon M. Kleinberg, Éva Tardos

PROXIMUS: a framework for analyzing very high dimensional discrete-attributed datasets.

Mehmet Koyutürk, Ananth Grama

Visualizing changes in the structure of data for exploratory feature selection.

Elias Pampalk, Werner Goebl, Gerhard Widmer

Aggregation-based feature invention and relational concept classes.

Claudia Perlich, Foster J. Provost

Cross-training: learning probabilistic mappings between topics.

Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godbole

Generating English summaries of time series data using the Gricean maxims.

Somayajulu Sripada, Ehud Reiter, Jim Hunter, Jin Yu

Assessment and pruning of hierarchical model based clustering.

Jeremy Tantrum, Alejandro Murua, Werner Stuetzle

Privacy-preserving k-means clustering over vertically partitioned data.

Jaideep Vaidya, Chris Clifton

Indexing multi-dimensional time-series with support for multiple distance measures.

Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn J. Keogh

Mining concept-drifting data streams using ensemble classifiers.

Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han

CLOSET+: searching for the best strategies for mining frequent closed itemsets.

Jianyong Wang, Jiawei Han, Jian Pei

Mining unexpected rules by pushing user dynamics.

Ke Wang, Yuelong Jiang, Laks V. S. Lakshmanan

On detecting differences between groups.

Geoffrey I. Webb, Shane M. Butler, Douglas A. Newlands

Algorithms for estimating relative importance in networks.

Scott White, Padhraic Smyth

Screening and interpreting multi-item associations based on log-linear modeling.

Xintao Wu, Daniel Barbará, Yong Ye

CloseGraph: mining closed frequent graph patterns.

Xifeng Yan, Jiawei Han

Eliminating noisy information in Web pages for data mining.

Lan Yi, Bing Liu, Xiaoli Li

Classifying large data sets using SVMs with hierarchical clusters.

Hwanjo Yu, Jiong Yang, Jiawei Han

XRules: an effective structural classifier for XML data.

Mohammed Javeed Zaki, Charu C. Aggarwal

Fast vertical mining using diffsets.

Mohammed Javeed Zaki, Karam Gouda

Efficient elastic burst detection in data streams.

Yunyue Zhu, Dennis E. Shasha

Golden Path Analyzer: using divide-and-conquer to cluster Web clickstreams.

Kamal Ali, Steven P. Ketchpel

Empirical Bayesian data mining for discovering patterns in post-marketing drug safety.

David M. Fram, June S. Almenoff, William DuMouchel

Mining hepatitis data with temporal abstraction.

Tu Bao Ho, Trong Dung Nguyen, Saori Kawasaki, Si Quang Le, DucDung Nguyen, Hideto Yokoi, Katsuhiko Takabayashi

Information awareness: a prospective technical assessment.

David D. Jensen, Matthew J. Rattigan, Hannah Blau

The data mining approach to automated software testing.

Mark Last, Menahem Friedman, Abraham Kandel

Passenger-based predictive modeling of airline no-show rates.

Richard D. Lawrence, Se June Hong, Jacques Cherrier

Capturing best practice for microarray gene expression data analysis.

Gregory Piatetsky-Shapiro, Tom Khabaza, Sridhar Ramaswamy

Clinical and financial outcomes analysis with existing hospital patient records.

R. Bharat Rao, Sathyakama Sandilya, Radu Stefan Niculescu, Colin Germond, Harsha Rao

Critical event prediction for proactive management in large-scale computer clusters.

Ramendra K. Sahoo, Adam J. Oliner, Irina Rish, Manish Gupta, José E. Moreira, Sheng Ma, Ricardo Vilalta, Anand Sivasubramaniam

Frequent-subsequence-based prediction of outer membrane proteins.

Rong She, Fei Chen, Ke Wang, Martin Ester, Jennifer L. Gardy, Fiona S. L. Brinkman

Discovery of climate indices using clustering.

Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Steven A. Klooster, Christopher Potter

Knowledge-based data mining.

Sholom M. Weiss, Stephen J. Buckley, Shubir Kapoor, Søren Damgaard

The anatomy of a multimodal information filter.

Yi-Leh Wu, Kingshy Goh, Beitao Li, Huaxin You, Edward Y. Chang

Style mining of electronic messages for multiple authorship discrimination: first results.

Shlomo Argamon, Marin Saric, Sterling Stuart Stein

Mining high dimensional data for classifier knowledge.

Raj Bhatnagar, Goutham Kurra, Wen Niu

Finding recent frequent itemsets adaptively over online data streams.

Joong Hyuk Chang, Won Suk Lee

Probabilistic discovery of time series motifs.

Bill Yuan-chi Chiu, Eamonn J. Keogh, Stefano Lonardi

Understanding captions in biomedical publications.

William W. Cohen, Richard C. Wang, Robert F. Murphy

Using randomized response techniques for privacy-preserving data mining.

Wenliang Du, Justin Zhijun Zhan

Applications of sampling and fractional factorial designs to model-free data squashing.

William DuMouchel, Deepak K. Agarwal

Experiments with random projections for machine learning.

Dmitriy Fradkin, David Madigan

Accurate decision trees for mining high-speed data streams.

João Gama, Ricardo Rocha, Pedro Medas

Correlating synchronous and asynchronous data streams.

Sudipto Guha, Dimitrios Gunopulos, Nick Koudas

A Web page prediction model based on click-stream tree representation of user behavior.

Sule Gündüz, M. Tamer Özsu

Natural communities in large linked networks.

John E. Hopcroft, Omar Khan, Brian Kulis, Bart Selman

Navigating massive data sets via local clustering.

Michael E. Houle

Mining viewpoint patterns in image databases.

Wynne Hsu, Jing Dai, Mong-Li Lee

Playing hide-and-seek with correlations.

Chris Jermaine

Interactive exploration of coherent patterns in time-series gene expression data.

Daxin Jiang, Jian Pei, Aidong Zhang

Efficient decision tree construction on streaming data.

Ruoming Jin, Gagan Agrawal

A bag of paths model for measuring structural similarity in Web documents.

Sachindra Joshi, Neeraj Agrawal, Raghu Krishnapuram, Sumit Negi

Nantonac collaborative filtering: recommendation based on order responses.

Toshihiro Kamishima

A two-way visualization method for clustered data.

Yehuda Koren, David Harel

Empirical comparisons of various voting methods in bagging.

Kelvin T. Leung, Douglas Stott Parker Jr.

Mining data records in Web pages.

Bing Liu, Robert L. Grossman, Yanhong Zhai

On computing, storing and querying frequent patterns.

Guimei Liu, Hongjun Lu, Wenwu Lou, Jeffrey Xu Yu

Online novelty detection on temporal sequences.

Junshui Ma, Simon Perkins

Distributed cooperative mining for information consortia.

Satoshi Morinaga, Kenji Yamanishi, Jun'ichi Takeuchi

Learning relational probability trees.

Jennifer Neville, David D. Jensen, Lisa Friedland, Michael Hay

Graph-based anomaly detection.

Caleb C. Noble, Diane J. Cook

Carpenter: finding closed patterns in long biological datasets.

Feng Pan, Gao Cong, Anthony K. H. Tung, Jiong Yang, Mohammed Javeed Zaki

New unsupervised clustering algorithm for large datasets.

William Peter, John Chiochetti, Clare Giardina

Improving spatial locality of programs via data mining.

Karlton Sequeira, Mohammed Javeed Zaki, Boleslaw K. Szymanski, Christopher D. Carothers

Mining phenotypes and informative genes from gene expression data.

Chun Tang, Aidong Zhang, Jian Pei

Weighted Association Rule Mining using weighted support and significance framework.

Feng Tao, Fionn Murtagh, Mohsen M. Farid

PaintingClass: interactive construction, visualization and exploration of decision trees.

Soon Tee Teoh, Kwan-Liu Ma

Time and sample efficient discovery of Markov blankets and direct causal relations.

Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov

Distributed multivariate regression based on influential observations.

Hang Yu, Ee-Chien Chang

Efficiently handling feature redundancy in high-dimensional data.

Lei Yu, Huan Liu

An adaptive nearest neighbor search for a parts acquisition ePortal.

Rafael Alonso, Jeffrey A. Bloom, Hua Li, Chumki Basu

Architecting a knowledge discovery engine for military commanders utilizing massive runs of simulations.

Philip S. Barry, Jianping Zhang, Mary McDonald

Data quality through knowledge engineering.

Tamraparni Dasu, Gregg T. Vesonder, Jon R. Wright

Similarity analysis on government regulations.

Gloria T. Lau, Kincho H. Law, Gio Wiederhold

Experimental design for solicitation campaigns.

Uwe F. Mayer, Armand Sarkissian

Towards NIC-based intrusion detection.

Matthew Eric Otey, Srinivasan Parthasarathy, Amol Ghoting, G. Li, Sundeep Narravula, Dhabaleswar K. Panda

Data-driven validation, completion and construction of event relationship networks.

Chang-Shing Perng, David Thoenen, Genady Grabarnik, Sheng Ma, Joseph L. Hellerstein

Visualizing concept drift.

Kevin B. Pratt, Gleb Tschapek

Experimental study of discovering essential information from customer inquiry.

Keiko Shimazu, Atsuhito Momma, Koichi Furukawa

Applying data mining in investigating money laundering crimes.

Zhongfei (Mark) Zhang, John J. Salerno, Philip S. Yu


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