Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for Architecture, Design, and Implementation (The Morgan Kaufmann Series in Data Management Systems)
| Author | : | |
| Rating | : | 4.23 (590 Votes) |
| Asin | : | 0123704529 |
| Format Type | : | paperback |
| Number of Pages | : | 544 Pages |
| Publish Date | : | 2018-02-15 |
| Language | : | English |
DESCRIPTION:
David Loshin said Nice data mining work. As both an analyst and a practitioner in the business intelligence arena, I always like to see practical books that help bridge the gap between "executor" and "talking head." This book provides both the fundamentals of data mining and the basics for individuals to get their arms around the problem and try out different techniques without needing a PhD in s
This book is the essential guide to the usage of the JDM standard interface, written by contributors to the JDM standard.Data mining introduction - an overview of data mining and the problems it can address across industries; JDM's place in strategic solutions to data mining-related problemsJDM essentials - concepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objectsJDM in practice - the use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM APIFree, downloadable KJDM source code referenced in the book available here. Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMS and data mining/analysis software, is a key solution component
He has given talks at the International Conference on Knowledge Discovery and Databases, JavaOne, JavaPro Live!, and The ServerSide Symposium on data mining standards and JDM. . Prior to founding KXEN, Mr. Mr. Marcade spearheaded a project to restructure the marketing database of the largest French automobile manufacturer for Atos, a le
This book is approachable, usable, practical, and necessary for any Java data mining software architect, developer, or analyst." --Frank Byrum, Chief Scientist, CorMine Intelligent Data, LLC . The authors have taken a unique approach to describing a broad range of aspects from strategies to problem solving with data mining technology in a variety of industries. Hornick, Marcadé, and Venkayala could not have written this book at a better time. The book is a must-read for those who want to introduce themselves to Java data mining (JDM) and fully realize the strategic importance of this technology in an ever competitive environment." --Onno Kluyt, senior director, JCP Program at Sun Microsystems, Inc., and chair of the JCP"Java is now ubiquitous and over the past few years the Java wor