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 Classification, Clustering, and Data Mining Applications: Proceedings
This book presents some of the key research undertaken by the members of
the International Federation of Classification Societies during the two years
since our last symposium. If the past is a guide to the future, these papers
contain the seeds of new ideas that will invigorate our field.
The editors are grateful... | | | | |
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Mining of Massive Datasets
This book evolved from material developed over several years by Anand Rajaraman
and Jeff Ullman for a one-quarter course at Stanford. The course
CS345A, titled “Web Mining,” was designed as an advanced graduate course,
although it has become accessible and interesting to advanced undergraduates.
The popularity of... | | Graph Classification and Clustering Based on Vector Space Embedding
Due to the ability of graphs to represent properties of entities and binary relations at the same time, a growing interest in graph based object repre sentation can be observed in science and engineering. Yet, graphs are still not the common data structure in pattern recognition and related fields. The reason for this is twofold. First, ... | | VMware Cookbook: A Real-World Guide to Effective VMware Use
With scores of step-by-step solutions, this cookbook helps you work with VMware ESXi in a wide range of network environments. You’ll not only learn the basics—how to pool resources from hardware servers, computer clusters, networks, and storage, and then distribute them among virtual machines—but also how to... |
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