Text Mining: Concepts, Implementation, and Big Data Challenge - Tapa blanda
Libro 42 de 108: Studies in Big Data
Sinopsis
Part I: Foundation
1 Introduction
2 Text Indexing
3 Text Encoding
4 Text Association
Part II: Text Categorization
5 Text Categorization: Conceptual View
6 Text Categorization: Approaches7 Text Categorization: Implementation
8 Text Categorization: Evaluation
Part III: Text Clustering
9 Text Clustering: Conceptual View
10 Text Clustering: Approaches
11 Text Clustering: Implementation
12 Text Clustering: EvaluationPart IV: Advanced Topics
13 Text Summarization
14 Text Segmentation
15 Taxonomy Generation
16 Dynamic Document Organization
References
Index
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