Lecture Notes in Computer Science - Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
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Published By Springer Berlin Heidelberg

9783642106453, 9783642106460

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Rough Set Year in India 2009

Lecture Notes in Computer Science - Rough Sets, Fuzzy Sets, Data Mining and Granular Computing ◽

10.1007/978-3-642-10646-0_7 ◽

2009 ◽

pp. 67-68 ◽

Author(s):

Manish Joshi ◽

Rabi N. Bhaumik ◽

Pawan Lingras ◽

Nitin Patil ◽

Ambuja Salgaonkar ◽

...

Keyword(s):

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Comparing Temporal Behavior of Phrases on Multiple Indexes with a Burst Word Detection Method

Lecture Notes in Computer Science - Rough Sets, Fuzzy Sets, Data Mining and Granular Computing ◽

10.1007/978-3-642-10646-0_61 ◽

2009 ◽

pp. 502-509 ◽

Author(s):

Hidenao Abe ◽

Shusaku Tsumoto

Keyword(s):

Detection Method ◽

Temporal Behavior ◽

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Innovation Game as a Tool of Chance Discovery

Lecture Notes in Computer Science - Rough Sets, Fuzzy Sets, Data Mining and Granular Computing ◽

10.1007/978-3-642-10646-0_6 ◽

2009 ◽

pp. 59-66 ◽

Author(s):

Yukio Ohsawa

Keyword(s):

Chance Discovery

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Pattern Structures for Analyzing Complex Data

Lecture Notes in Computer Science - Rough Sets, Fuzzy Sets, Data Mining and Granular Computing ◽

10.1007/978-3-642-10646-0_4 ◽

2009 ◽

pp. 33-44 ◽

Author(s):

Sergei O. Kuznetsov

Keyword(s):

Complex Data ◽

Pattern Structures

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The Lower System, the Upper System and Rules with Stability Factor in Non-deterministic Information Systems

Lecture Notes in Computer Science - Rough Sets, Fuzzy Sets, Data Mining and Granular Computing ◽

10.1007/978-3-642-10646-0_38 ◽

2009 ◽

pp. 313-320 ◽

Author(s):

Hiroshi Sakai ◽

Kohei Hayashi ◽

Michinori Nakata ◽

Dominik Ślęzak

Keyword(s):

Information Systems ◽

Stability Factor

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A Formal Concept Analysis Approach to Rough Data Tables

Lecture Notes in Computer Science - Rough Sets, Fuzzy Sets, Data Mining and Granular Computing ◽

10.1007/978-3-642-10646-0_14 ◽

2009 ◽

pp. 117-126 ◽

Author(s):

Bernhard Ganter ◽

Christian Meschke

Keyword(s):

Formal Concept Analysis ◽

Concept Analysis ◽

Analysis Approach ◽

Formal Concept ◽

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New Approach in Defining Rough Approximations

Lecture Notes in Computer Science - Rough Sets, Fuzzy Sets, Data Mining and Granular Computing ◽

10.1007/978-3-642-10646-0_10 ◽

2009 ◽

pp. 85-92 ◽

Author(s):

E. K. R. Nagarajan ◽

D. Umadevi

Keyword(s):

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An Efficient Prediction Model for Diabetic Database Using Soft Computing Techniques

Lecture Notes in Computer Science - Rough Sets, Fuzzy Sets, Data Mining and Granular Computing ◽

10.1007/978-3-642-10646-0_40 ◽

2009 ◽

pp. 328-335 ◽

Author(s):

Veena H. Bhat ◽

Prasanth G. Rao ◽

P. Deepa Shenoy ◽

K. R. Venugopal ◽

L. M. Patnaik

Keyword(s):

Prediction Model ◽

Soft Computing ◽

Soft Computing Techniques ◽

Efficient Prediction

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A New Approach for Solving Fuzzy Maximal Flow Problems

Lecture Notes in Computer Science - Rough Sets, Fuzzy Sets, Data Mining and Granular Computing ◽

10.1007/978-3-642-10646-0_34 ◽

2009 ◽

pp. 278-286 ◽

Author(s):

Amit Kumar ◽

Neha Bhatia ◽

Manjot Kaur

Keyword(s):

Maximal Flow ◽

New Approach ◽

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Fuzzy Sets and Rough Sets for Scenario Modelling and Analysis

Lecture Notes in Computer Science - Rough Sets, Fuzzy Sets, Data Mining and Granular Computing ◽

10.1007/978-3-642-10646-0_5 ◽

2009 ◽

pp. 45-58

Author(s):

Qiang Shen

Keyword(s):

Scenario Modelling

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