In response to increasingly high customer demands and formidable competition, today's organizations have implemented new technologies that generate and collect massive volumes of data. However, a large majority of the data collected goes to waste or becomes obsolete. Inconsistency, repetition,...

Mountains of business data are piling up in organizations every day. These organizations collect data from multiple sources, both internal and external. These sources include legacy systems, customer relationship management and enterprise resource planning applications, online and e-commerce...

There is a large increase in the amount of information available on World Wide Web and also in number of online databases. This information abundance increases the complexity of locating relevant information. Such a complexity drives the need for improved and intelligent systems for search and...

The objective of data mining is the extraction of knowledge from databases. In practice, one often encounters difficulties with models that are constructed purely by search, without incorporation of knowledge about the domain of application. In economic decision making such as credit loan...

Google Brings Data Mining to the People! Virtually everyone sees Google as, hands down, the best online search tool. Now you can use and improve on Google technology in your own applications.Mining Google Web Services teaches you dozens of techniques for tapping the power of the Google API....

MICHAEL J. A. BERRY and GORDON S. LINOFF are the founders of Data Miners, Inc., a consultancy specializing in data mining. They have jointly authored some of the leading data mining titles in the field, Data Mining Techniques, Mastering Data Mining, and Mining the Web (all from Wiley). They each...