Text

Data Mining and Analysis: Fundamentals Concepts and Algorithms

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1 Data Mining and Analysis

Part 1 Data Analysis Foundations
2 Numeric Attributes
3 Categorical Attributes
4 Graph Data
5 Kernel Methods
6 High-dimensions Data
7 Dimensionality Reduction

Part 2 Frequent Pattern Mining
8 Itemset Mining
9 Summarizing Itemsets
10 Sequence Mining
11 Graph Pattern Mining
12 Patterns and Rule Assessment

Part 3 Clustering
13 Representative-based Clustering
14 Hierarchical Clustering
15 Density-based Clustering
16 Spectral and Graph Clustering
17 Clustering Validation

Part 4 Classification
18 Probabilistics Classification
19 Decision Tree Classifier
20 Linear Discriminant Analysis
21 Support Vector Machines
22 Classification Assessment

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Availability

5555129617

006.312 ZAK a

Pusat (Sirkulasi)

Available

Detail Information

Series Title

-

Call Number

006.312 ZAK a

Publisher

New York : Cambridge University Press., 2014

Collation

xi, 593p., Idex. 18.5 x 26 cm

Language

English

ISBN/ISSN

978-0-521-766633-3

Classification

006.312

Content Type

text

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

ALGORITHMS
COMPUTER ALGORITHMS

Specific Detail Info

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Statement of Responsibility

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