Data Engineering: Mining, Information and Intelligence / Edition 1by Yupo Chan
Pub. Date: 10/28/2009
Publisher: Springer US
It is quite clear that the world is awash in all kinds of data. In fact, the sheer volume of data adds little value to human activity and choices. The key to the vast amounts of data and information available to us is to distill and organize the data into information that we can productively use. Therefore, the most desirable information is that information which can be used to provide insight and intelligence for actionable strategies. DATA ENGINEERING: Mining, Information and Intelligence focuses specifically on applied information-warehousing and data-mining research that is being used or can be used by both academic researchers and industry enterprises. Moreover, the book will be the first to categorize and synthesize the diverse methodologies that are used in these interrelated fields into a structured approach entitled, Data Engineering.
- Springer US
- Publication date:
- International Series in Operations Research & Management Science, #132
- Edition description:
- Product dimensions:
- 6.10(w) x 9.25(h) x 0.04(d)
Table of ContentsIntroduction.- A Declarative Approach to Entity Resolution.- Transitive Closure of Data Records.- Semantic Data Matching.- Application of the Near Miss Strategy and Edit Distance to Handle Dirty Data.- A Parallel General-Purpose Synthetic Data Generator.- A Grid Operating Enviroment for CDI.- Parallel File Systems.- Performance Modeling of Enterprise Grids.- Delay Characteristics of Packet Switched Networks.- Knowledge Discovery in Textual Databases.- Mining E-Documents to Uncover Structures.- Designing a Flexible Framework for a Table Abstraction.- Information Quality Framework for Verifiable Intelligence Products.- Interactive Visualization of Large High-Dimensional Datasets.- Image Watermarking Based on Pyramid Decomposition with CH Transform.- Immersive Visualization of Cellular Structures.- Visualization and Ontology of Geospatial Intelligence.- Looking Ahead.- Index.
and post it to your social network
Most Helpful Customer Reviews
See all customer reviews >