Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining - KDD '05
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104

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H-INDEX

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Query chains

Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining - KDD '05 ◽

10.1145/1081870.1081899 ◽

2005 ◽

Cited By ~ 160

Author(s):

Filip Radlinski ◽

Thorsten Joachims

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Variable latent semantic indexing

Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining - KDD '05 ◽

10.1145/1081870.1081876 ◽

2005 ◽

Cited By ~ 3

Author(s):

Anirban Dasgupta ◽

Ravi Kumar ◽

Prabhakar Raghavan ◽

Andrew Tomkins

Keyword(s):

Latent Semantic Indexing ◽

Semantic Indexing

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Fast window correlations over uncooperative time series

Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining - KDD '05 ◽

10.1145/1081870.1081966 ◽

2005 ◽

Cited By ~ 35

Author(s):

Richard Cole ◽

Dennis Shasha ◽

Xiaojian Zhao

Keyword(s):

Time Series

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Predicting the product purchase patterns of corporate customers

Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining - KDD '05 ◽

10.1145/1081870.1081924 ◽

2005 ◽

Cited By ~ 1

Author(s):

Bhavani Raskutti ◽

Alan Herschtal

Keyword(s):

Purchase Patterns ◽

Corporate Customers

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Information retrieval based on collaborative filtering with latent interest semantic map

Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining - KDD '05 ◽

10.1145/1081870.1081946 ◽

2005 ◽

Cited By ~ 2

Author(s):

Noriaki Kawamae ◽

Katsumi Takahashi

Keyword(s):

Information Retrieval ◽

Collaborative Filtering ◽

Semantic Map

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Integration of profile hidden Markov model output into association rule mining

Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining - KDD '05 ◽

10.1145/1081870.1081933 ◽

2005 ◽

Cited By ~ 2

Author(s):

Christopher Besemann ◽

Anne Denton

Keyword(s):

Markov Model ◽

Hidden Markov Model ◽

Association Rule ◽

Association Rule Mining ◽

Hidden Markov ◽

Model Output ◽

Rule Mining ◽

Profile Hidden Markov Model

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Mining rare and frequent events in multi-camera surveillance video using self-organizing maps

Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining - KDD '05 ◽

10.1145/1081870.1081975 ◽

2005 ◽

Cited By ~ 7

Author(s):

Valery A. Petrushin

Keyword(s):

Surveillance Video ◽

Self Organizing Maps ◽

Camera Surveillance ◽

Self Organizing

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Discovering frequent topological structures from graph datasets

Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining - KDD '05 ◽

10.1145/1081870.1081944 ◽

2005 ◽

Cited By ~ 24

Author(s):

R. Jin ◽

C. Wang ◽

D. Polshakov ◽

S. Parthasarathy ◽

G. Agrawal

Keyword(s):

Topological Structures

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Disease progression modeling from historical clinical databases

Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining - KDD '05 ◽

10.1145/1081870.1081974 ◽

2005 ◽

Cited By ~ 5

Author(s):

Ronald K. Pearson ◽

Robert J. Kingan ◽

Alan Hochberg

Keyword(s):

Disease Progression ◽

Clinical Databases ◽

Disease Progression Modeling

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Determining an author's native language by mining a text for errors

Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining - KDD '05 ◽

10.1145/1081870.1081947 ◽

2005 ◽

Cited By ~ 28

Author(s):

Moshe Koppel ◽

Jonathan Schler ◽

Kfir Zigdon

Keyword(s):

Native Language

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Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining - KDD '05Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By ACM Press

Query chains

Variable latent semantic indexing

Fast window correlations over uncooperative time series

Predicting the product purchase patterns of corporate customers

Information retrieval based on collaborative filtering with latent interest semantic map

Integration of profile hidden Markov model output into association rule mining

Mining rare and frequent events in multi-camera surveillance video using self-organizing maps

Discovering frequent topological structures from graph datasets

Disease progression modeling from historical clinical databases

Determining an author's native language by mining a text for errors

Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining - KDD '05
Latest Publications