Data Mining and Decision Support: Integration and CollaborationDunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle 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
... , text and Web mining techniques and their applications , especially learning from large text data sets . He has worked on several national and international projects in text and data mining , xviii Data mining and decision support.
... datasets in a very efficient way , while the algorithmic complexity of statistical methods may turn out to be prohibitive for their use on very large databases . Next , the results of the analysis need to be represented in an ...
... dataset in terms of a fixed collection of attributes ( properties ) , as is the case with transactional databases . More sophisticated tools are needed for data mining from relational databases and data warehouses . Methods and tools ...
... dataset analysis ( see Chapter 11 ) , a task of this type was defined by the following question : " Which other journals / magazines do readers of a particular journal / magazine read ? " As opposed to decision tree and rule set ...
... dataset was relatively large ( 1.5GB ) and multi - relational , and the data mining task was exploratory mining rather than simple prediction . As analyzing road safety data is a highly exploratory process , it critically depends on ...
Contents
| 3 | |
TEXT AND WEB MINING | 15 |
DECISION SUPPORT | 23 |
INTEGRATION OF DATA MINING AND DECISION | 37 |
COLLABORATION IN A DATA MINING VIRTUAL | 49 |
DATA MINING PROCESSES AND COLLABORATION | 63 |
AN INTRODUCTION | 80 |
SUPPORTING | 91 |
MINING 21 YEARS OF | 142 |
ANALYSIS OF A DATABASE OF RESEARCH PROJECTS | 157 |
WEB SITE ACCESS ANALYSIS FOR A NATIONAL | 167 |
FIVE DECISION SUPPORT APPLICATIONS | 177 |
COLLABORATIVE DATA MINING WITH RAMSYS | 215 |
LESSONS LEARNED FROM DATA MINING DECISION | 237 |
A KNOWLEDGE | 247 |
ACADEMIABUSINESS PARTNERSHIP MODELS | 261 |
PREPROCESSING FOR DATA MINING AND DECISION | 107 |
DATA MINING AND DECISION SUPPORT INTEGRATION | 118 |
APPLICATIONS OF DATA MINING | 131 |
Subject index 271 | 270 |
Other editions - View all
Data Mining and Decision Support: Integration and Collaboration Dunja Mladenic,Nada Lavrač,Marko Bohanec,Steve Moyle No preview available - 2012 |