• Produktbild: Data Mining, Rough Sets and Granular Computing
  • Produktbild: Data Mining, Rough Sets and Granular Computing
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Data Mining, Rough Sets and Granular Computing

149,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.10.2010

Herausgeber

Tsau Young Lin + weitere

Verlag

Physica

Seitenzahl

537

Maße (L/B/H)

23,5/15,5/3 cm

Gewicht

821 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-3-7908-2508-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.10.2010

Herausgeber

Verlag

Physica

Seitenzahl

537

Maße (L/B/H)

23,5/15,5/3 cm

Gewicht

821 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-3-7908-2508-4

Herstelleradresse

Physica Verlag
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Data Mining, Rough Sets and Granular Computing
  • Produktbild: Data Mining, Rough Sets and Granular Computing
  • 1: Granular Computing — A New Paradigm.- Some Reflections on Information Granulation and its Centrality in Granular Computing, Computing with Words, the Computational Theory of Perceptions and Precisiated Natural Language.- 2: Granular Computing in Data Mining.- Data Mining Using Granular Computing: Fast Algorithms for Finding Association Rules.- Knowledge Discovery with Words Using Cartesian Granule Features: An Analysis for Classification Problems.- Validation of Concept Representation with Rule Induction and Linguistic Variables.- Granular Computing Using Information Tables.- A Query-Driven Interesting Rule Discovery Using Association and Spanning Operations.- 3: Data Mining.- An Interactive Visualization System for Mining Association Rules.- Algorithms for Mining System Audit Data.- Scoring and Ranking the Data Using Association Rules.- Finding Unexpected Patterns in Data.- Discovery of Approximate Knowledge in Medical Databases Based on Rough Set Model.- 4: Granular Computing.- Observability and the Case of Probability.- Granulation and Granularity via Conceptual Structures: A Perspective From the Point of View of Fuzzy Concept Lattices.- Granular Computing with Closeness and Negligibility Relations.- Application of Granularity Computing to Confirm Compliance with Non-Proliferation Treaty.- Basic Issues of Computing with Granular Probabilities.- Multi-dimensional Aggregation of Fuzzy Numbers Through the Extension Principle.- On Optimal Fuzzy Information Granulation.- Ordinal Decision Making with a Notion of Acceptable: Denoted Ordinal Scales.- A Framework for Building Intelligent Information-Processing Systems Based on Granular Factor Space.- 5: Rough Sets and Granular Computing.- GRS: A Generalized Rough Sets Model.- Structure of Upper and Lower Approximation Spaces of Infinite Sets.- Indexed Rough Approximations, A Polymodal System, and Generalized Possibility Measures.- Granularity, Multi-valued Logic, Bayes’ Theorem and Rough Sets.- The Generic Rough Set Inductive Logic Programming (gRS-ILP) Model.- Possibilistic Data Analysis and Its Similarity to Rough Sets.