data mining patterns
Mining Frequent Patterns in Object-Oriented Data
White Paper This paper tackles mining frequent patterns and classification in object-oriented data. A new OR-FP algorithm for mining frequent patterns in... [01 Oct 2008]
Dynamic Modeling of Trajectory Patterns Using Data Mining and Reverse Engineering
White Paper 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... [01 Oct 2008]
Identification of MPEG-4 FDP Patterns in Human Faces Using Data-Mining Techniques
White Paper The paper applies two different data-mining algorithms, C4.5 and C5.0, in a database of faces parameters in the MPEG4 FDP (Face Definition Parameters) form. This paper tries to induce rules that describe... [01 Oct 2008]
Data Mining and Genetic Algorithm Based Gene/SNP Selection
White Paper One such area is the identification of gene/SNP patterns impacting cure/drug development for various diseases. Genomic studies provide large volumes of data with the number of Single Nucleotide... [01 Oct 2008]
Video Data Mining Using Configurations of Viewpoint Invariant Regions
White Paper The problem is challenging firstly because an object can undergo substantial changes in imaged appearance throughout a video (due to viewpoint and illumination change, and partial occlusion), and secondly because configurations are... [01 Oct 2008]
Application of Data-Mining to State Transportation Agencies' Projects Databases
White Paper Data mining is a relatively new data analysis technique that has the ability to discover patterns stored within historical data and is now considered a... [01 Oct 2008]
Relational Data Mining With Inductive Logic Programming for Link Discovery
White Paper Link Discovery (LD) is an important task in data mining for counter-terrorism and is the focus of DARPA's Evidence Extraction and Link Discovery (EELD) research program. Most... [01 Oct 2008]
Data Mining Methods for Detection of New Malicious Executables
White Paper The data-mining framework automatically found patterns in the data set and used these patterns to detect a set of new malicious binaries. This paper... [01 Oct 2008]
Data Mining in Chemometrics: Sub-Structures Learning Via Peak Combinations Searching in Mass Spectra
White Paper Data Mining (DM), also named Knowledge Discovery in Databases (KDD) is an extraction of interesting (non-trivial, implicit, previously unknown and potentially useful) information or... [01 Oct 2008]
Data Mining Within DBMS Functionality
White Paper Data mining slowly evolves from simple discovery of frequent patterns and regularities in large data sets toward interactive, user-oriented, on-demand decision... [01 Oct 2008]
Link Mining: A New Data Mining Challenge
White Paper 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. A key... [01 Oct 2008]
Data Mining in Soft Computing Framework: A Survey
White Paper The present paper provides a survey of the available literature on data mining using soft computing. A categorization has been provided based on the different soft computing tools and their... [01 Oct 2008]
Classification and Prediction in Data Mining With Neural Networks
White Paper Data mining is a process to discover the patterns and trends in large datasets. In this paper Neural Networks (NN) are drawn in data mining for... [01 Oct 2008]
Privacy-Preserving Data Mining on Data Grids in the Presence of Malicious Participants
White Paper The paper proposes a novel technique for obtaining knowledge - by way of a data mining model - from a data grid, while ensuring that the privacy is cryptographically secure. As far as... [01 Oct 2008]
An Approach to Targeted Marketing Using Spatial Data Mining at Campbell Scientific, Inc.
White Paper Data mining adds value to business information by extracting invisible but meaningful patterns and rules in corporate data. The concept of this paper focuses on merging... [01 Oct 2008]
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