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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 Third International Conference on Knowledge Discovery and Data Mining (KDD-97), Newport Beach, California, USA, August 14-17, 1997.
注意,当前年度会议可能有其他论文集合,点击查看
An Interactive Visualization Environment for Data Exploration.

Mark Derthick, John Kolojejchick, Steven F. Roth

Density-Connected Sets and their Application for Trend Detection in Spatial Databases.

Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu

Visualization Techniques to Explore Data Mining Results for Document Collections.

Ronen Feldman, Willi Klösgen, Amir Zilberstein

A Probabilistic Approach to Fast Pattern Matching in Time Series Databases.

Eamonn J. Keogh, Padhraic Smyth

Using General Impressions to Analyze Discovered Classification Rules.

Bing Liu, Wynne Hsu, Shu Chen

Development of Multi-Criteria Metrics for Evaluation of Data Mining Algorithms.

Gholamreza Nakhaeizadeh, Alexander Schnabl

Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions.

Foster J. Provost, Tom Fawcett

Discriminative vs Informative Learning.

Y. Dan Rubinstein, Trevor Hastie

Anytime Exploratory Data Analysis for Massive Data Sets.

Padhraic Smyth, David Wolpert

Detecting Atmospheric Regimes Using Cross-Validated Clustering.

Padhraic Smyth, Michael Ghil, Kayo Ide, Joseph Roden, Andrew Fraser

Mining Association Rules with Item Constraints.

Ramakrishnan Srikant, Quoc Vu, Rakesh Agrawal

JAM: Java Agents for Meta-Learning over Distributed Databases.

Salvatore J. Stolfo, Andreas L. Prodromidis, Shelley Tselepis, Wenke Lee, Dave W. Fan, Philip K. Chan

A Visual Interactive Framework for Attribute Discretization.

Ramesh Subramonian, Ramana Venkata, Joyce Chen

Automated Discovery of Active Motifs in Three Dimensional Molecules.

Xiong Wang, Jason Tsong-Li Wang, Dennis E. Shasha, Bruce A. Shapiro, Sitaram Dikshitulu, Isidore Rigoutsos, Kaizhong Zhang

Computing Optimized Rectilinear Regions for Association Rules.

Kunikazu Yoda, Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama

Knowledge = Concepts: A Harmful Equation.

Jan M. Zytkow

Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach.

Gediminas Adomavicius, Alexander Tuzhilin

Partial Classification Using Association Rules.

Kamal Ali, Stefanos Manganaris, Ramakrishnan Srikant

Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation.

John M. Aronis, Foster J. Provost

Brute-Force Mining of High-Confidence Classification Rules.

Roberto J. Bayardo Jr.

Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis.

Ulla Bergsten, Johan Schubert, Per Svensson

Process-Based Database Support for the Early Indicator Method.

Christoph Breitner, Jörg Schlösser, Rüdiger Wirth

MineSet: An Integrated System for Data Mining.

Clifford Brunk, James Kelly, Ron Kohavi

Proposal and Empirical Comparison of a Parallelizable Distance-Based Discretization Method.

Jesús Cerquides, Ramon López de Mántaras

Large Scale Data Mining: Challenges and Responses.

Jaturon Chattratichat, John Darlington, Moustafa Ghanem, Yike Guo, Harald Frank Hüning, Martin Köhler, Janjao Sutiwaraphun, Hing Wing To, Dan Yang

Using Artificial Intelligence Planning to Automate Science Data Analysis for Large Image Databases.

Steve A. Chien, Forest Fisher, Helen Mortensen, Edisanter Lo, Ronald Greeley

Mining Multivariate Time-Series Sensor Data to Discover Behavior Envelopes.

Dennis DeCoste

Why Does Bagging Work? A Bayesian Account and its Implications.

Pedro M. Domingos

Fast Committee Machines for Regression and Classification.

Harris Drucker

A Guided Tour through the Data Mining Jungle.

Robert Engels, Guido Lindner, Rudi Studer

Maximal Association Rules: A New Tool for Mining for Keyword Co-Occurrences in Document Collections.

Ronen Feldman, Yonatan Aumann, Amihood Amir, Amir Zilberstein, Willi Klösgen

Improving Scalability in a Scientific Discovery System by Exploiting Parallelism.

Gehad Galal, Diane J. Cook, Lawrence B. Holder

Deep Knowledge Discovery from Natural Language Texts.

Udo Hahn, Klemens Schnattinger

Integrating and Mining Distributed Customer Databases.

Ira J. Haimowitz, Özden Gür-Ali, Henry Schwarz

GA-Based Rule Enhancement in Concept Learning.

Jukka Hekanaho

Target-Independent Mining for Scientific Data: Capturing Transients and Trends for Phenomena Mining.

Thomas H. Hinke, John A. Rushing, Heggere S. Ranganath, Sara J. Graves

Zeta: A Global Method for Discretization of Continuous Variables.

K. M. Ho, Paul D. Scott

Adjusting for Multiple Comparisons in Decision Tree Pruning.

David D. Jensen, Matthew D. Schmill

SIPping from the Data Firehose.

George H. John, Brian Lent

Mining Generalized Term Associations: Count Propagation Algorithm.

Jonghyun Kahng, Wen-Hsiang Kevin Liao, Dennis McLeod

Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes.

Micheline Kamber, Jiawei Han, Jenny Chiang

Scalable, Distributed Data Mining - An Agent Architecture.

Hillol Kargupta, Ilker Hamzaoglu, Brian Stafford

Clustering Sequences of Complex Objects.

Alain Ketterlin

A Unified Notion of Outliers: Properties and Computation.

Edwin M. Knorr, Raymond T. Ng

Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail.

Stefan Kramer, Bernhard Pfahringer, Christoph Helma

Discovering Trends in Text Databases.

Brian Lent, Rakesh Agrawal, Ramakrishnan Srikant

Fast Robust Visual Data Mining.

Ted Mihalisin, John Timlin

Beyond Concise and Colorful: Learning Intelligible Rules.

Michael J. Pazzani, Subramani Mani, William Rodman Shankle

Scaling Up Inductive Algorithms: An Overview.

Foster J. Provost, Venkateswarlu Kolluri

Visualizing Bagged Decision Trees.

J. Sunil Rao, William J. E. Potts

KESO: Minimizing Database Interaction.

Arno Siebes, Martin L. Kersten

Learning to Extract Text-Based Information from the World Wide Web.

Stephen Soderland

Image Feature Reduction through Spoiling: Its Application to Multiple Matched Filters for Focus of Attention.

Timothy M. Stough, Carla E. Brodley

Autonomous Discovery of Reliable Exception Rules.

Einoshin Suzuki

An Efficient Algorithm for the Incremental Updation of Association Rules in Large Databases.

Shiby Thomas, Sreenath Bodagala, Khaled Alsabti, Sanjay Ranka

Bayesian Inference for Identifying Solar Active Regions.

Michael J. Turmon, Saleem Mukhtar, Judit Pap

Schema Discovery for Semistructured Data.

Ke Wang, Huiqing Liu

Selecting Features by Vertical Compactness of Data.

Ke Wang, Suman Sundaresh

Knowledge Discovery in Integrated Call Centers: A Framework for Effective Customer-Driven Marketing.

Paul Xia

New Algorithms for Fast Discovery of Association Rules.

Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mitsunori Ogihara, Wei Li

Fast and Intuitive Clustering of Web Documents.

Oren Zamir, Oren Etzioni, Omid Madani, Richard M. Karp

KDD Process Planning.

Ning Zhong, Chunnian Liu, Yoshitsugu Kakemoto, Setsuo Ohsuga

Optimal Multiple Intervals Discretization of Continuous Attributes for Supervised Learning.

Djamel A. Zighed, Ricco Rakotomalala, Fabien Feschet

A Dataset Decomposition Approach to Data Mining and Machine Discovery.

Blaz Zupan, Marko Bohanec, Ivan Bratko, Bojan Cestnik

From Large to Huge: A Statistician's Reactions to KDD & DM.

Peter J. Huber

An Interactive Visualization Environment for Data Exploration.

Mark Derthick, John Kolojejchick, Steven F. Roth

Density-Connected Sets and their Application for Trend Detection in Spatial Databases.

Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu

Visualization Techniques to Explore Data Mining Results for Document Collections.

Ronen Feldman, Willi Klösgen, Amir Zilberstein

A Probabilistic Approach to Fast Pattern Matching in Time Series Databases.

Eamonn J. Keogh, Padhraic Smyth

Using General Impressions to Analyze Discovered Classification Rules.

Bing Liu, Wynne Hsu, Shu Chen

Development of Multi-Criteria Metrics for Evaluation of Data Mining Algorithms.

Gholamreza Nakhaeizadeh, Alexander Schnabl

Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions.

Foster J. Provost, Tom Fawcett

Discriminative vs Informative Learning.

Y. Dan Rubinstein, Trevor Hastie

Anytime Exploratory Data Analysis for Massive Data Sets.

Padhraic Smyth, David H. Wolpert

Detecting Atmospheric Regimes Using Cross-Validated Clustering.

Padhraic Smyth, Michael Ghil, Kayo Ide, Joseph Roden, Andrew Fraser

Mining Association Rules with Item Constraints.

Ramakrishnan Srikant, Quoc Vu, Rakesh Agrawal

JAM: Java Agents for Meta-Learning over Distributed Databases.

Salvatore J. Stolfo, Andreas L. Prodromidis, Shelley Tselepis, Wenke Lee, Dave W. Fan, Philip K. Chan

A Visual Interactive Framework for Attribute Discretization.

Ramesh Subramonian, Ramana Venkata, Joyce Chen

Automated Discovery of Active Motifs in Three Dimensional Molecules.

Xiong Wang, Jason Tsong-Li Wang, Dennis E. Shasha, Bruce A. Shapiro, Sitaram Dikshitulu, Isidore Rigoutsos, Kaizhong Zhang

Computing Optimized Rectilinear Regions for Association Rules.

Kunikazu Yoda, Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama

Knowledge = Concepts: A Harmful Equation.

Jan M. Zytkow

Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach.

Gediminas Adomavicius, Alexander Tuzhilin

Partial Classification Using Association Rules.

Kamal Ali, Stefanos Manganaris, Ramakrishnan Srikant

Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation.

John M. Aronis, Foster J. Provost

Brute-Force Mining of High-Confidence Classification Rules.

Roberto J. Bayardo Jr.

Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis.

Ulla Bergsten, Johan Schubert, Per Svensson

Process-Based Database Support for the Early Indicator Method.

Christoph Breitner, Jörg Schlösser, Rüdiger Wirth

MineSet: An Integrated System for Data Mining.

Clifford Brunk, James Kelly, Ron Kohavi

Proposal and Empirical Comparison of a Parallelizable Distance-Based Discretization Method.

Jesús Cerquides, Ramón López de Mántaras

Large Scale Data Mining: Challenges and Responses.

Jaturon Chattratichat, John Darlington, Moustafa Ghanem, Yike Guo, Harald Frank Hüning, Martin Köhler, Janjao Sutiwaraphun, Hing Wing To, Dan Yang

Using Artificial Intelligence Planning to Automate Science Data Analysis for Large Image Databases.

Steve A. Chien, Forest Fisher, Helen Mortensen, Edisanter Lo, Ronald Greeley

Mining Multivariate Time-Series Sensor Data to Discover Behavior Envelopes.

Dennis DeCoste

Why Does Bagging Work? A Bayesian Account and its Implications.

Pedro M. Domingos

Fast Committee Machines for Regression and Classification.

Harris Drucker

A Guided Tour through the Data Mining Jungle.

Robert Engels, Guido Lindner, Rudi Studer

Maximal Association Rules: A New Tool for Mining for Keyword Co-Occurrences in Document Collections.

Ronen Feldman, Yonatan Aumann, Amihood Amir, Amir Zilberstein, Willi Klösgen

Improving Scalability in a Scientific Discovery System by Exploiting Parallelism.

Gehad Galal, Diane J. Cook, Lawrence B. Holder

Deep Knowledge Discovery from Natural Language Texts.

Udo Hahn, Klemens Schnattinger

Integrating and Mining Distributed Customer Databases.

Ira J. Haimowitz, Özden Gür-Ali, Henry Schwarz

GA-Based Rule Enhancement in Concept Learning.

Jukka Hekanaho

Target-Independent Mining for Scientific Data: Capturing Transients and Trends for Phenomena Mining.

Thomas H. Hinke, John A. Rushing, Heggere S. Ranganath, Sara J. Graves

Zeta: A Global Method for Discretization of Continuous Variables.

K. M. Ho, Paul D. Scott

Adjusting for Multiple Comparisons in Decision Tree Pruning.

David D. Jensen, Matthew D. Schmill

SIPping from the Data Firehose.

George H. John, Brian Lent

Mining Generalized Term Associations: Count Propagation Algorithm.

Jonghyun Kahng, Wen-Hsiang Kevin Liao, Dennis McLeod

Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes.

Micheline Kamber, Jiawei Han, Jenny Chiang

Scalable, Distributed Data Mining - An Agent Architecture.

Hillol Kargupta, Ilker Hamzaoglu, Brian Stafford

Clustering Sequences of Complex Objects.

Alain Ketterlin

A Unified Notion of Outliers: Properties and Computation.

Edwin M. Knorr, Raymond T. Ng

Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail.

Stefan Kramer, Bernhard Pfahringer, Christoph Helma

Discovering Trends in Text Databases.

Brian Lent, Rakesh Agrawal, Ramakrishnan Srikant

Fast Robust Visual Data Mining.

Ted Mihalisin, John Timlin

Beyond Concise and Colorful: Learning Intelligible Rules.

Michael J. Pazzani, Subramani Mani, William Rodman Shankle

Scaling Up Inductive Algorithms: An Overview.

Foster J. Provost, Venkateswarlu Kolluri

Visualizing Bagged Decision Trees.

J. Sunil Rao, William J. E. Potts

KESO: Minimizing Database Interaction.

Arno Siebes, Martin L. Kersten

Learning to Extract Text-Based Information from the World Wide Web.

Stephen Soderland

Image Feature Reduction through Spoiling: Its Application to Multiple Matched Filters for Focus of Attention.

Timothy M. Stough, Carla E. Brodley

Autonomous Discovery of Reliable Exception Rules.

Einoshin Suzuki

An Efficient Algorithm for the Incremental Updation of Association Rules in Large Databases.

Shiby Thomas, Sreenath Bodagala, Khaled Alsabti, Sanjay Ranka

Bayesian Inference for Identifying Solar Active Regions.

Michael J. Turmon, Saleem Mukhtar, Judit Pap

Schema Discovery for Semistructured Data.

Ke Wang, Huiqing Liu

Selecting Features by Vertical Compactness of Data.

Ke Wang, Suman Sundaresh

Knowledge Discovery in Integrated Call Centers: A Framework for Effective Customer-Driven Marketing.

Paul Xia

New Algorithms for Fast Discovery of Association Rules.

Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mitsunori Ogihara, Wei Li

Fast and Intuitive Clustering of Web Documents.

Oren Zamir, Oren Etzioni, Omid Madani, Richard M. Karp

KDD Process Planning.

Ning Zhong, Chunnian Liu, Yoshitsugu Kakemoto, Setsuo Ohsuga

Optimal Multiple Intervals Discretization of Continuous Attributes for Supervised Learning.

Djamel A. Zighed, Ricco Rakotomalala, Fabien Feschet

A Dataset Decomposition Approach to Data Mining and Machine Discovery.

Blaz Zupan, Marko Bohanec, Ivan Bratko, Bojan Cestnik

From Large to Huge: A Statistician's Reactions to KDD & DM.

Peter J. Huber


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