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Applying
UML by Rob Pooley and Pauline Wilcox
This book addresses
issues faced by users in adopting the Unified Modeling Languages (UML) and helps
them to apply it. The book covers UML in depth, including notation on profiles
and extensions. The book assumes prior experience in software engineering or business
modeling, an understanding of object-oriented concepts and a basic knowledge of
UML. Table of Contents:
Preface
1. Introduction
2. A Complete
Example
3. Issues and Features
4. Graphics and Interaction Based Applications
5. Business Model | |
6. Embedded Control
7. Reuse
8. Review of Case Studies in Chapters
4,5,6, and 7
9. The Need for Methodologies
10. The Capability Model
11. Evaluation of Methodologies
Appendix A - UML Notation
Appendix B -
UML Semantics Appendix C - Code Generation and Round Trip Engineering
References
Index Applying UML by Rob Pooley and Pauline Wilcox,
November 2004, Morgan Kaufmann Publishers, ISBN: 0-7506-5683-2, Pages: 224.
For more info: http://books.elsevier.com/us/mk/us/
subindex.asp?isbn=0750656832&country=United
+States&community=mk&ref=&mscssid=WN7
TTGGDMB8T8LG87CEADJGF0MGDC5R7
Text Mining: Predictive Methods for Analyzing
Unstructured Information by Sholom M. Weiss, Nitin Indurkhya, Tong
Zhang and Fred Damerau
Text mining allows users to find trends and patterns
in text-based information. This book analyzes new and proven techniques in text
mining. It discusses topics such as automated document indexing and information
retrieval and search. Also included is a look at new research in text mining including
information extraction and document summarization. Table of Contents:
Preface
1. Overview of Text Mining
2. From Textual Information to Numerical
Vectors
3. Using Text for Prediction
4. Information Retrieval and Text
Mining |
