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research area data mining

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Methodology for Railway Demand Forecasting Using Data Mining: After the organization to resolve its operational problems, comes the necessity for systems to support decision making. The research area data mining grows quickly to take care of these new necessities. However, the use of data mining techniques becomes difficult due to the lack of a complete and systematic methodology...; Tags: Knowledge, Methodology, Forecasting, Research Area Data Mining, Data Mining, Business Intelligence, Marketing Research, Databases, Strategy, Enterprise Software, Software, Data Management, Marketing, Management; White papers 2007-05-14

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Uncertain Data Mining: A New Research Direction: Data uncertainty is often found in real-world applications due to reasons such as imprecise measurement, outdated sources, or sampling errors. Much research has been published in the area of managing data uncertainty in databases. This paper proposes that when data mining is performed on uncertain data, data uncertainty has to...; Tags: University Of Hong Kong, Data Uncertainty, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2005-12-08
Data Mining Primer for the Data Warehouse Professional: Very little has been written to explain the challenges facing IT organizations as they try to make data mining a part of their business intelligence operations. This paper explores data mining from the IT perspective, providing a quick overview of data mining technology, technical challenges and solutions for implementing successful...; Tags: Data Warehouse, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers
Privacy Preserving Data Mining: A Process Centric View From a European Perspective: Privacy Preserving Data Mining PPDM in a broad sense has been an area of research since 19912 both in the public and private sector and has also been discussed at numerous workshops and international conferences. Currently the research is mainly directed towards development of technical methods, such as application of...; Tags: Privacy, Data Mining, Business Intelligence, Marketing Research, Databases, Security, Enterprise Software, Software, Data Management, Marketing; White papers 2007-06-26
Link Mining: A New Data Mining Challenge: A key challenge for data mining is tackling the problem of mining richly structured datasets, where the objects are linked in some way. Links among the objects may demonstrate certain patterns, which can be helpful for many data mining tasks and are usually hard to capture with traditional statistical models....; Tags: University Of Maryland, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2008-01-01

Indexing and Data Access Methods for Database Mining: Most of today's techniques for data mining and association rule mining ARM in particular, can be aptly termed "flat file mining", since the database is typically transformed to a flat file that is input to the mining software. Previous research in the integration of ARM with databases looked largely at...; Tags: Lucent Technologies Inc., Data Access, Alcatel, Productivity, Storage, Databases, Hardware, Enterprise Software, Software, Data Management; White papers
A Data Mining Course for Computer Science: Primary Sources and Implementations: An undergraduate elective course in data mining provides a strong opportunity for students to learn research skills, practice data structures, and enhance their understanding of algorithms. The author has developed a data mining course built around the idea of using research-level papers as the primary reading material for the course,...; Tags: Computer Science, Course, Computer, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2006-03-05
MSDN Webcast: Working With Data Mining in SQL Server 2005 (Level 200): Data mining is a fast-growing area of business analytics that involves using advanced statistical techniques to find patterns in large volumes of data. While Microsoft SQL Server 2000 included rudimentary data mining tools, Microsoft SQL Server 2005 provides tools and algorithms that are far more powerful, both for the developer...; Tags: Microsoft Developer Network, Webcast, Microsoft SQL Server, Microsoft Corp., Microsoft SQL Server 2005, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; Webcasts
Does Relevance Matter to Data Mining Research?: Data Mining DM and knowledge discovery are intelligent tools that help to accumulate and process data and make use of it. This paper reviews several existing frameworks for DM research that originate from different paradigms. These DM frameworks mainly address various DM algorithms for the different steps of the DM...; Tags: University Of Jyvaskyla, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2005-10-20
TechNet Webcast: Getting Started With Data Mining (Level 200): This webcast presents overview of data mining from a database development perspective. It begins with a discussion of the business value and uses of data mining, such as prediction and forecasting and explains how to detect anomalies, and how to recognize scenarios for which Microsoft data mining technology is best...; Tags: Webcast, Microsoft TechNet, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; Webcasts
Granular Computing for Data Mining: Granular computing, as an emerging research field, provides a conceptual framework for studying many issues in data mining. This paper examines some of those issues, including data and knowledge representation and processing. It is demonstrated that one of the fundamental tasks of data mining is searching for the right level...; Tags: Knowledge, Computing, University Of Regina, Data Mining, Business Intelligence, Marketing Research, Databases, Strategy, Enterprise Software, Software, Data Management, Marketing, Management; White papers 2006-02-11
TechNet Webcast: Deliver Actionable Insight Throughout Your Organization With Data Mining (Part 1 of 3): Your First Project With SQL Server Data Mining (Level 200): Many users are intrigued and excited to see data mining available in the Microsoft SQL Server product, but many don't know how to start using these features. This webcast leads through the first steps to success for data mining projects. It looks at the overall architecture of data mining and...; Tags: Webcast, Microsoft SQL Server, Microsoft TechNet, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; Webcasts 2007-11-01
Visual Data Mining: From Visualization to Visual Information Mining: Data mining has been fruitfully used in many of domains, including marketing, medicine, finance, engineering and bioinformatics. There still are, however, a number of factors that militate against the widespread adoption and use of this new technology. This is mainly due to the fact that the results of many data...; Tags: Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2008-01-01
Toward Knowledge-Rich Data Mining: Data mining has made tremendous progress in the last ten years. However, a large gap remains between the results a data mining system can provide and taking actions based on them. This gap must be filled by human work, which greatly limits the efficiency of the overall process and the...; Tags: Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2007-02-23
Optimizing Data Mining Workloads Using Hardware Accelerators: Data mining is the process of finding useful and actionable patterns in large data sets. Data mining algorithms have become vital to researchers in science, engineering, medicine, business, search and security domains. In recent years, there has been a tremendous increase in the size of the data being collected and...; Tags: Hardware, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2007-01-15
Data-Centric Automated Data Mining: Data mining is a difficult task. It requires complex methodologies, including problem definition, data preparation, model selection, and model evaluation. This has limited the adoption of data mining at large and in the database and Business Intelligence BI communities more specifically. The concepts and methodologies used in data mining are...; Tags: Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2005-09-30
Data Mining and Cryptology: This paper addresses the issue of mining encrypted data, in order to protect confidential information while permitting knowledge discovery. Common cryptographic algorithms are considered and their robustness against data mining algorithms is evaluated. Having identified robust cryptosystems, data are encrypted and well-known data mining techniques are applied on the encrypted...; Tags: University Of Patras, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2003-06-01
On Density Based Transforms for Uncertain Data Mining: In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many real data sets have missing attribute values or values which are only approximately measured or imputed. This paper shows...; Tags: Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2007-01-12
Macadamia: Master's Programme in Machine Learning and Data Mining: The research focus has since shifted from neural networks to machine learning, algorithmic data analysis and data mining. Macadamia is a two-year master's programme for machine learning and data mining given in the Department of Information and Computer Science at Helsinki University of Technology. This paper describes its curriculum and...; Tags: Helsinki University, Macadamia, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2008-04-30
Intrusion Detection Using Data Mining Along Fuzzy Logic and Genetic Algorithms: Intrusion Detection is one of the important area of research. The work discussed in this paper has explored the possibility of integrating the fuzzy logic with Data Mining methods using Genetic Algorithms for intrusion detection. The reasons for introducing fuzzy logic is two fold, the first being the involvement of...; Tags: Algorithm, Intrusion Detection, Data Mining, Business Intelligence, Network Security, Marketing Research, Security, Enterprise Software, Software, Data Management, Networking, Marketing; White papers 2008-02-01

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