Instance Selection and Construction for Data Mining
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Published By Springer US

9781441948618, 9781475733594

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Genetic-Algorithm-Based Instance and Feature Selection

Instance Selection and Construction for Data Mining ◽

10.1007/978-1-4757-3359-4_6 ◽

2001 ◽

pp. 95-112 ◽

Cited By ~ 11

Author(s):

Hisao Ishibuchi ◽

Tomoharu Nakashima ◽

Manabu Nii

Keyword(s):

Genetic Algorithm ◽

Feature Selection

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Competence Guided Instance Selection for Case-Based Reasoning

Instance Selection and Construction for Data Mining ◽

10.1007/978-1-4757-3359-4_4 ◽

2001 ◽

pp. 59-76

Author(s):

Barry Smyth ◽

Elizabeth McKenna

Keyword(s):

Instance Selection ◽

Case Based Reasoning ◽

Selection For ◽

Case Based

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Instance Selection Based on Support Vector Machine for Knowledge Discovery in Medical Database

Instance Selection and Construction for Data Mining ◽

10.1007/978-1-4757-3359-4_22 ◽

2001 ◽

pp. 395-409 ◽

Cited By ~ 3

Author(s):

Shinsuke Sugaya ◽

Einoshin Suzuki ◽

Shusaku Tsumoto

Keyword(s):

Support Vector Machine ◽

Knowledge Discovery ◽

Support Vector ◽

Instance Selection ◽

Medical Database

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DAGGER: Instance Selection for Combining Multiple Models Learnt from Disjoint Subsets

Instance Selection and Construction for Data Mining ◽

10.1007/978-1-4757-3359-4_18 ◽

2001 ◽

pp. 319-336 ◽

Cited By ~ 1

Author(s):

Winton Davies ◽

Pete Edwards

Keyword(s):

Instance Selection ◽

Multiple Models ◽

Selection For

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Incremental Classification Using Tree-Based Sampling for Large Data

Instance Selection and Construction for Data Mining ◽

10.1007/978-1-4757-3359-4_11 ◽

2001 ◽

pp. 189-206

Author(s):

Hankil Yoon ◽

Khaled Alsabti ◽

Sanjay Ranka

Keyword(s):

Large Data ◽

Incremental Classification

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Data Reduction via Instance Selection

Instance Selection and Construction for Data Mining ◽

10.1007/978-1-4757-3359-4_1 ◽

2001 ◽

pp. 3-20 ◽

Cited By ~ 5

Author(s):

Huan Liu ◽

Hiroshi Motoda

Keyword(s):

Data Reduction ◽

Instance Selection

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A Unifying View on Instance Selection

Instance Selection and Construction for Data Mining ◽

10.1007/978-1-4757-3359-4_3 ◽

2001 ◽

pp. 39-56

Author(s):

Thomas Reinartz

Keyword(s):

Instance Selection

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An Active Learning Formulation for Instance Selection with Applications to Object Detection

Instance Selection and Construction for Data Mining ◽

10.1007/978-1-4757-3359-4_20 ◽

2001 ◽

pp. 357-374

Author(s):

Kah-Kay Sung ◽

Partha Niyogi

Keyword(s):

Active Learning ◽

Object Detection ◽

Instance Selection

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Prototype Selection Using Boosted Nearest-Neighbors

Instance Selection and Construction for Data Mining ◽

10.1007/978-1-4757-3359-4_17 ◽

2001 ◽

pp. 301-318

Author(s):

Richard Nock ◽

Marc Sebban

Keyword(s):

Nearest Neighbors ◽

Prototype Selection

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Instance Sampling for Boosted and Standalone Nearest Neighbor Classifiers

Instance Selection and Construction for Data Mining ◽

10.1007/978-1-4757-3359-4_16 ◽

2001 ◽

pp. 283-300

Author(s):

David B. Skalak

Keyword(s):

Nearest Neighbor ◽

Nearest Neighbor Classifiers

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Instance Selection and Construction for Data MiningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer US

Genetic-Algorithm-Based Instance and Feature Selection

Competence Guided Instance Selection for Case-Based Reasoning

Instance Selection Based on Support Vector Machine for Knowledge Discovery in Medical Database

DAGGER: Instance Selection for Combining Multiple Models Learnt from Disjoint Subsets

Incremental Classification Using Tree-Based Sampling for Large Data

Data Reduction via Instance Selection

A Unifying View on Instance Selection

An Active Learning Formulation for Instance Selection with Applications to Object Detection

Prototype Selection Using Boosted Nearest-Neighbors

Instance Sampling for Boosted and Standalone Nearest Neighbor Classifiers

Instance Selection and Construction for Data Mining
Latest Publications