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Mining Text for Golden Service - What Value Glimmers Below the Surface?
White Papers Industry experts from Warranty Week, SAS and Accenture explain why a key to successful service chain management is the ability to use text mining as part of a larger framework for analyzing service and supply chain data.
[June 2, 2009, 1:18]
Mining Methodologies to Ensure Successful CLV Implementation: Cross-Sell/Up-Sell Modeling
White Papers The presenter of this webcast discusses how data mining can help answer the fundamental business questions associated with successful cross- and up-selling campaigns, including: "What groups of products are customers mostly likely to own?
[August 31, 2007, 1:00]
Mining Weekly
Downloads Mining Weekly provides up to the minute reporting on global news developments in mining including in the gold, platinum, diamonds, and base metals sectors. Provides access to global breaking news and news by geographic regions from North America...
[July 18, 2009, 7:54]
Online Data Collection & Management - PART 4: Mining Data Captured Through Your Web Site
White Papers In business environments, data mining is used to exploit trends or facts from large volumes of data that will assist companies in making strategic decisions to accelerate progress or gain an advantage.
[May 23, 2009, 1:19]
Real Time Data Mining-Based Intrusion Detection
White Papers This paper presents an overview of the research in real time data mining-based Intrusion Detection Systems (IDSs). It focuses on issues related to deploying a data mining-based IDS in a real time environment.
[June 18, 2008, 1:01]
A Methodology for Dynamic Data Mining Based on Fuzzy Clustering
White Papers Dynamic data mining is increasingly attracting attention from the respective research community. On the other hand, users of installed data mining systems are also interested in the related techniques and will be even more since most of these...
[September 20, 2008, 0:00]
Data Mining and Bioinformatics
White Papers This paper looks at the use of Data Mining in the domain of Bioinformatics. The broad use of data mining and their applicability in the different areas of bioinformatics are evaluated. Knowledge-discovery techniques are becoming more and more...
[September 20, 2008, 0:00]
Visualizing Data Mining Models
White Papers Since data mining usually involves extracting hidden information from a database, this understanding process can get somewhat complicated. Data mining, on the other hand, extracts information from a database that the user did not already know about.
[August 14, 2003, 0:00]
A Comparison of Leading Data Mining Tools
White Papers This white paper describes what Data Mining Tools Can do: And what Data Mining Tools Can Not do: Enhance inference process Speed up design cycle. Substitute for statistical and domain expertise.
[August 14, 2003, 0:00]
AutoDomainMine: A Graphical Data Mining System for Process Optimization
White Papers This paper describes a graphical data mining system called AutoDomainMine. It is based on the proposed approach of integrating clustering and classification to mine scientific data stored in a database.
[October 1, 2008, 1:01]
Where the Gold Is: Data Mining and Improving the Curriculum in the 21st Century
White Papers This paper focuses on the development of an undergraduate course in Data Mining, also known as Knowledge Discovery in Data (KDD), Exploratory Data Analysis (EDA), and Business Intelligence. With the proliferation of computers and computer...
[October 1, 2008, 1:01]
Change Detection Based on Spatial Data Mining
White Papers Spatial Data Mining (SDM) and Change Detection (CD) are hot issues in the field of geospatial information processing. Considering the feasibility of discovering knowledge from spatial database and the demands of knowledge for change detection, the...
[October 1, 2008, 1:01]
Anthracite Web Mining Desktop Toolkit
Downloads The ultimate collection of web mining power tools combined in an easy-to-use interface that lets you quickly extract data from Internet and local sources, modify it to suit your needs, and export it to templates or databases as part of your workflow.
[September 11, 2009, 1:53]
Creation and Deployment of Data Mining-Based Intrusion Detection Systems in Oracle Database 10g
White Papers In recent years, data mining-based Intrusion Detection Systems (IDSs) have demonstrated high accuracy, good generalization to novel types of intrusion, and robust behavior in a changing environment. This paper describes Database centric...
[November 14, 2007, 0:01]
COMBI-Operator - Database Support for Data Mining Applications
White Papers Database support for data mining has become an important research topic. This paper identifies the data intensive subproblem of aggregating high-dimensional data in all possible low-dimensional projections (for instance estimating low-dimensional...
[October 1, 2008, 1:01]
Dynamic Modeling of Trajectory Patterns Using Data Mining and Reverse Engineering
White Papers The constant increase of moving object data imposes the need for modeling, processing, and mining trajectories, in order to find and understand the patterns behind these data. This paper proposes a reverse engineering framework for mining and...
[October 1, 2008, 1:01]
Effective CRM Helps Australian Mining Support Company Improve Customer Service
White Papers The customer service efforts of mining industry support company Kalassay Group were being hampered by a database management system that could not store customer information from all three of its laboratories nor supply accurate information to its...
[January 23, 2007, 0:00]
Admire Framework: Distributed Data Mining on Data Grid Platforms
White Papers This paper presents the ADMIRE architecture; a new framework for developing novel and innovative data mining techniques to deal with very large and distributed heterogeneous datasets in both commercial and academic applications.
[October 1, 2008, 1:01]
Data Mining and CRM
White Papers Data mining, data exploration and knowledge discovery are all terms that create an image of the demanding and sometimes tedious search to uncover insights that are neither obvious to competitors nor easy for competitors to duplicate.
[July 20, 2006, 0:00]
Multi-Relational Data Mining, Using UML for ILP
White Papers Although there is a growing need for multi-relational data mining solutions in KDD, the use of obvious candidates from the field of Inductive Logic Programming (ILP) has been limited. In one's view this is mainly due to the variation in ILP engines...
[October 1, 2008, 1:01]
