Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319066042, 9783319066059

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Highly Scalable Attribute Selection for Averaged One-Dependence Estimators

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-06605-9_8 ◽

2014 ◽

pp. 86-97 ◽

Cited By ~ 7

Author(s):

Shenglei Chen ◽

Ana M. Martinez ◽

Geoffrey I. Webb

Keyword(s):

Attribute Selection ◽

Selection For

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Finding Better Topics: Features, Priors and Constraints

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-06605-9_25 ◽

2014 ◽

pp. 296-310 ◽

Cited By ~ 1

Author(s):

Xiaona Wu ◽

Jia Zeng ◽

Jianfeng Yan ◽

Xiaosheng Liu

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Rare Category Detection on O(dN) Time Complexity

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-06605-9_41 ◽

2014 ◽

pp. 498-509 ◽

Cited By ~ 3

Author(s):

Zhenguang Liu ◽

Hao Huang ◽

Qinming He ◽

Kevin Chiew ◽

Lianhang Ma

Keyword(s):

Time Complexity ◽

Rare Category

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A Graphical Model for Collective Behavior Learning Using Minority Games

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-06605-9_24 ◽

2014 ◽

pp. 284-295

Author(s):

Farhan Khawar ◽

Zengchang Qin

Keyword(s):

Collective Behavior ◽

Graphical Model ◽

Minority Games ◽

Behavior Learning

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A Relevance Weighted Ensemble Model for Anomaly Detection in Switching Data Streams

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-06605-9_38 ◽

2014 ◽

pp. 461-473 ◽

Cited By ~ 14

Author(s):

Mahsa Salehi ◽

Christopher A. Leckie ◽

Masud Moshtaghi ◽

Tharshan Vaithianathan

Keyword(s):

Anomaly Detection ◽

Data Streams ◽

Ensemble Model

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Visualization of PICO Elements for Information Needs Clarification and Query Refinement

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-06605-9_30 ◽

2014 ◽

pp. 360-372 ◽

Cited By ~ 1

Author(s):

Wan-Tze Vong ◽

Patrick Hang Hui Then

Keyword(s):

Information Needs ◽

Query Refinement

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Two-Phase Layered Learning Recommendation via Category Structure

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-06605-9_2 ◽

2014 ◽

pp. 13-24 ◽

Cited By ~ 4

Author(s):

Ke Ji ◽

Hong Shen ◽

Hui Tian ◽

Yanbo Wu ◽

Jun Wu

Keyword(s):

Category Structure ◽

Two Phase ◽

Layered Learning

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Crime Forecasting Using Spatio-temporal Pattern with Ensemble Learning

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-06605-9_15 ◽

2014 ◽

pp. 174-185 ◽

Cited By ~ 16

Author(s):

Chung-Hsien Yu ◽

Wei Ding ◽

Ping Chen ◽

Melissa Morabito

Keyword(s):

Ensemble Learning ◽

Temporal Pattern ◽

Spatio Temporal

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Extensions to Quantile Regression Forests for Very High-Dimensional Data

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-06605-9_21 ◽

2014 ◽

pp. 247-258 ◽

Cited By ~ 5

Author(s):

Nguyen Thanh Tung ◽

Joshua Zhexue Huang ◽

Imran Khan ◽

Mark Junjie Li ◽

Graham Williams

Keyword(s):

Quantile Regression ◽

High Dimensional Data ◽

High Dimensional ◽

Very High

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Positional Translation Language Model for Ad-Hoc Information Retrieval

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-06605-9_12 ◽

2014 ◽

pp. 134-145

Author(s):

Xinhui Tu ◽

Jing Luo ◽

Bo Li ◽

Tingting He ◽

Jinguang Gu

Keyword(s):

Information Retrieval ◽

Ad Hoc ◽

Language Model

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Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Highly Scalable Attribute Selection for Averaged One-Dependence Estimators

Finding Better Topics: Features, Priors and Constraints

Rare Category Detection on O(dN) Time Complexity

A Graphical Model for Collective Behavior Learning Using Minority Games

A Relevance Weighted Ensemble Model for Anomaly Detection in Switching Data Streams

Visualization of PICO Elements for Information Needs Clarification and Query Refinement

Two-Phase Layered Learning Recommendation via Category Structure

Crime Forecasting Using Spatio-temporal Pattern with Ensemble Learning

Extensions to Quantile Regression Forests for Very High-Dimensional Data

Positional Translation Language Model for Ad-Hoc Information Retrieval

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science
Latest Publications