CS 395T Large-Scale Data Mining Fall 2001

CS 395T Large-Scale Data Mining Fall 2001

Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations

Witten and Frank's textbook was one of two books that I used for a data mining class in the Fall of 2001. The book covers all major methods of data mining that produce a knowledge representation as output. Knowledge representation is hereby understood as a representation that can be studied, understood, and interpreted by human beings, at least in principle. Thus, neural networks and genetic al...

Parallel SQL Based Association Rule Mining on Large Scale PC Cluster: Performance Comparison with Directly Coded C Implementation

Data mining is becoming increasingly important since the size of databases grows even larger and the need to explore hidden rules from the databases becomes widely recognized. Currently database systems are dominated by relational database and the ability to perform data mining using standard SQL queries will de nitely ease implementation of data mining. However the performance of SQL based dat...

Automatic Discovery of Technology Networks for Industrial-Scale R&D IT Projects via Data Mining

Industrial-Scale R&D IT Projects depend on many sub-technologies which need to be understood and have their risks analysed before the project can begin for their success. When planning such an industrial-scale project, the list of technologies and the associations of these technologies with each other is often complex and form a network. Discovery of this network of technologies is time consumi...

Satya Sridhar Dusi Venkata

COMPUTING IN SCIENCE & ENGINEERING Large-scale computational simulations of physical phenomena produce enormous data sets, often in the terabyte and petabyte range. Unfortunately, advances in data management and visualization techniques have not kept pace with the growing size and complexity of such data sets. One paradigm for effective large-scale visualization is browsing regions containing s...