by C.J. Date, Hugh Darwen
Number of pages: 544
The database field is full of important problems still to be solved and interesting issues still to be examined -- and some of those problems and issues are explored in this book. It reports on some of our most recent investigations in this field.
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by Anand Rajaraman, Jeffrey D. Ullman - Stanford University
At the highest level of description, this book is about data mining. However, it focuses on data mining of very large amounts of data. Because of the emphasis on size, many of our examples are about the Web or data derived from the Web.
by Graham Williams - Togaware Pty Ltd
Data mining is about building models from data. We build models to gain insights into the world and how the world works. A data miner, in building models, deploys many different data analysis and model building techniques.
by Christian S. Jensen - Aalborg University
Topics covered: the semantics of temporal data, the design of data models and languages for temporal data, the design of databases expressed in terms of temporal data models as well as temporally enhanced design of conventional databases.
Data mining comprises techniques and algorithms, for determining interesting patterns from large datasets. There are currently hundreds algorithms that perform tasks such as frequent pattern mining, clustering, and classification, among others.