Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems) by Eibe Frank
Data Mining and Business Intelligence Tools
Data Mining and Statistics: What's the Connection?
SAS Data Mining Tools Drive Growing Segment of Business ...
Course Design Document IS424: Data Mining and Business Analytics
CASE PROJECTS IN DATA WAREHOUSING AND DATA MINING
Orange and Decisions-at-Hand: Bridging Predictive Data Mining ...
Machine Learning and Data Mining: 19 Mining Text And Web Data
Data Structures for Spatial Data Mining
Spatial Data Mining
Knowledge, hidden in voluminous data repositories routinely created and maintained by today’s applications, can be extracted by data mining. The next step is to transform this discovered knowledge into the inference mechanisms or simply the behavior of agents and multi-agent systems. Agent Intelligence Through Data Mining addresses this issue, as well as the arguable challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. This book contains a methodology, tools and techniques, and several examples of agent-based applications developed with this approach. This volume focuses mainly on the use of data mining for smarter, more efficient agents.
Agent Intelligence Through Data Mining is designed for a professional audience of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.
Use coupon below to get discount at eCampus.com!
SHADES
$3 off textbook orders over $75
SUNBLOCK
$4 off textbook orders over $90
SUNSHINE
$5 off textbook orders over $100
Copy the coupon code before clicking the button!
| AVAILABILITY | |||
| Merchant | Format | Price | |
| Amazon US | Paperback | $19.99 - $115.00 | |
| eBooks.com | Digital (PDF) | $109.99 | |
| BookByte | Paperback | $138.41 | |
| eCampus | Paperback | ||

Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental ...
One of the most important and challenging problems in data mining is the definition of prior knowledge either from the process or the domain. Prior knowledge is helpful for selecting suitable data ...
This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique. Decision trees have become one of the most ...
Microsoft Data Mining approaches data mining from the particular perspective of IT professionals using Microsoft data management technologies. The author explains the new data mining capabilities in ...
The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are ...
Data mining technology is growing rapidly and, in many industries, has become commonplace. The main reasons for this are advances in computer technology that acquire, store and retrieve enormous ...
Data mining is considered as one of the most powerful technologies that participates greatly in helping companies in any industry to focus on the most important information in their data warehouses. ...
Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. The increasing availability of data in the current ...
The leading introductory book on data mining, fully updated and revised!When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just ...
Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital ...

