Reading Data Mining by Bhavani Thuraisingham is a poignant experience:masterful and readable summary of her field:a profound overview of an important domain of human knowledge:a memorable opus.-Dr. Dobb's Journal:a comprehensive overview of data mining on almost all aspects:this book is a good intro
Data Mining: Technologies, Techniques, Tools, and Trends
โ Scribed by Bhavani Thuraisingham (Author)
- Publisher
- CRC Press
- Year
- 1999
- Leaves
- 292
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges.
Three parts divide Data Mining:
โฆ Subjects
Computer Science;Databases;Data Preparation & Mining;Management of IT;Mathematics & Statistics;Statistics & Probability;Statistics;Statistics for Business, Finance & Economics
๐ SIMILAR VOLUMES
Marketing analysts use data mining techniques to gain a reliable understanding of customer buying habits and then use that information to develop new marketing campaigns and products. Visual mining tools introduce a world of possibilities to a much broader and non-technical audience to help them sol
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no al
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no al
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no al
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no al