Data Mining and Decision Support: Integration and Collaboration
Dunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle
Springer Science & Business Media, Dec 6, 2012 - Computers - 275 pages
Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others.
Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting.
From inside the book
Results 1-5 of 37
... A European Virtual Enterprise' (Soleunet IST-11495, 2000–2003), enabling twelve academic and business teams to form a virtual enterprise aimed at the development of practical data mining and decision-making solutions for clients.
... recognising fraudulent financial transactions, recognising threats to ecological systems, etc. In such applications, data mining is only part of the total process. Experts and clients are needed in most stages of the project: to ...
Although in most data mining projects, several iterations of individual steps or step sequences need to be performed these basic guidelines are very useful both for the data analyst and the client. The individual steps of the CRISP-DM ...
Because of the interdisciplinary nature of data mining, there is a big inflow of new knowledge, widening the spectrum of client problems that can be solved by the use of this technology. For the future we envisage intensive developments ...
You have reached your viewing limit for this book.
What people are saying - Write a review
TEXT AND WEB MINING
INTEGRATION OF DATA MINING AND DECISION
COLLABORATION IN A DATA MINING VIRTUAL
DATA MINING PROCESSES AND COLLABORATION
MINING 21 YEARS OF
ANALYSIS OF A DATABASE OF RESEARCH PROJECTS
WEBSITE ACCESS ANALYSIS FOR A NATIONAL
FIVE DECISION SUPPORT APPLICATIONS
COLLABORATIVE DATA MINING WITH RAMSYS
LESSONS LEARNED FROM DATA MINING DECISION
ACADEMIABUSINESS PARTNERSHIP MODELS
PREPROCESSING FOR DATA MINING AND DECISION
DATA MINING AND DECISION SUPPORT INTEGRATION
APPLICATIONS OF DATA MINING
Subject index 271