Lecture Notes in Computer Science - Data Mining
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25

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Published By Springer Berlin Heidelberg

9783540325475, 9783540325482

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Hierarchical Hidden Markov Models: An Application to Health Insurance Data

Lecture Notes in Computer Science - Data Mining ◽

10.1007/11677437_19 ◽

2006 ◽

pp. 244-259 ◽

Cited By ~ 1

Author(s):

Ah Chung Tsoi ◽

Shu Zhang ◽

Markus Hagenbuchner

Keyword(s):

Health Insurance ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Health Insurance Data ◽

Hierarchical Hidden Markov Models ◽

Insurance Data

A Data Mining Approach to Analyze the Effect of Cognitive Style and Subjective Emotion on the Accuracy of Time-Series Forecasting

Lecture Notes in Computer Science - Data Mining ◽

10.1007/11677437_17 ◽

2006 ◽

pp. 218-228

Author(s):

Hung Kook Park ◽

Byoungho Song ◽

Hyeon-Joong Yoo ◽

Dae Woong Rhee ◽

Kang Ryoung Park ◽

...

Keyword(s):

Data Mining ◽

Time Series ◽

Cognitive Style ◽

Time Series Forecasting ◽

Data Mining Approach

Text Mining for Insurance Claim Cost Prediction

Lecture Notes in Computer Science - Data Mining ◽

10.1007/11677437_15 ◽

2006 ◽

pp. 192-202 ◽

Cited By ~ 3

Author(s):

Inna Kolyshkina ◽

Marcel van Rooyen

Keyword(s):

Text Mining ◽

Insurance Claim ◽

Cost Prediction

Decision Theoretic Fusion Framework for Actionability Using Data Mining on an Embedded System

Lecture Notes in Computer Science - Data Mining ◽

10.1007/11677437_8 ◽

2006 ◽

pp. 90-104

Author(s):

Heungkyu Lee ◽

Sunmee Kang ◽

Hanseok Ko

Keyword(s):

Data Mining ◽

Embedded System ◽

Using Data ◽

Fusion Framework

An Application of Time-Changing Feature Selection

Lecture Notes in Computer Science - Data Mining ◽

10.1007/11677437_16 ◽

2006 ◽

pp. 203-217 ◽

Cited By ~ 2

Author(s):

Yihao Zhang ◽

Mehmet A. Orgun ◽

Weiqiang Lin ◽

Warwick Graco

Keyword(s):

Feature Selection

Intelligent Document Filter for the Internet

Lecture Notes in Computer Science - Data Mining ◽

10.1007/11677437_13 ◽

2006 ◽

pp. 161-175

Author(s):

Deepani B. Guruge ◽

Russel J. Stonier

Keyword(s):

The Internet

Mining MOUCLAS Patterns and Jumping MOUCLAS Patterns to Construct Classifiers

Lecture Notes in Computer Science - Data Mining ◽

10.1007/11677437_10 ◽

2006 ◽

pp. 118-129

Author(s):

Yalei Hao ◽

Gerald Quirchmayr ◽

Markus Stumptner

K Nearest Neighbor Edition to Guide Classification Tree Learning: Motivation and Experimental Results

Lecture Notes in Computer Science - Data Mining ◽

10.1007/11677437_5 ◽

2006 ◽

pp. 53-63

Author(s):

J. M. Martínez-Otzeta ◽

B. Sierra ◽

E. Lazkano ◽

A. Astigarraga

Keyword(s):

Nearest Neighbor ◽

Classification Tree ◽

Learning Motivation ◽

Experimental Results ◽

K Nearest Neighbor

A Data Mining Approach for Branch and ATM Site Evaluation

Lecture Notes in Computer Science - Data Mining ◽

10.1007/11677437_24 ◽

2006 ◽

pp. 303-318

Author(s):

Simon C. K. Shiu ◽

James N. K. Liu ◽

Jennie L. C. Lam ◽

Bo Feng

Keyword(s):

Data Mining ◽

Data Mining Approach ◽

Site Evaluation

Mining Quantitative Association Rules in Protein Sequences

Lecture Notes in Computer Science - Data Mining ◽

10.1007/11677437_21 ◽

2006 ◽

pp. 273-281 ◽

Cited By ~ 16

Author(s):

Nitin Gupta ◽

Nitin Mangal ◽

Kamal Tiwari ◽

Pabitra Mitra

Keyword(s):

Association Rules ◽

Protein Sequences ◽

Quantitative Association Rules