We survey work on the different uses of graphical mapping and interaction techniques for visual data mining of large data sets represented as table data. Basic terminology related to data mining, data sets, and visualization is introduced. Previous work on information visualization is reviewed in light of different categorizations of techniques and systems. The role of interaction techniques is...

Evolutionary algorithms (EAs) are ubiquitous to many environmental issues. Typically, most evolutionary techniques use just a small part of the solutions evaluated at a time. Thus, many of the solutions evaluated during the search process are “forgotten” after one generation, and combined experience of several generations is typically not well exploited. Data mining (DM) techniques can enable d...

This paper demonstrates the use of Data Mining (DM) techniques in exploratory research. A robust model for identifying the factors that explain the success of Open Source Software (OSS) projects is created, validated and tested. The predictive modeling techniques of Logistic Regression (LR), Decision Trees (DT) and Neural Networks (NN) are used together in this analysis. Using Text Mining resul...

Research Interests My research allows computers to solve complex problems associated with inferring patterns from data. This places my work in the data mining (DM) and machine learning (ML) fields of artificial intelligence (AI) which contain interesting problems and a range of fascinating currently used and potentially applicable computational techniques. The larger scale contribution of my re...

The logical view of data is a two dimensional table and the physical storage is a single dimensional. Two approaches exist to map two dimensional data on to a single dimensional storage: Row oriented and Column oriented. Common database applications are developed using traditional roworiented database systems. Data Mining (DM) is a promising research area, deals with huge data with large number...

Knowledge Discovery in Databases (KDD) is an automatic, exploratory analysis and modeling of large data repositories. KDD is the organized process of identifying valid, novel, useful, and understandable patterns from large and complex data sets. Data Mining (DM) is the core of the KDD process, involving the inferring of algorithms that explore the data, develop the model and discover previously...

Today rapid development in Information Technology field and new applications being developed constantly to support critical businesses all over the world and also various key fields like environment studies, Medicine, Research and other sciences, making it an indispensable part of our lives. Computations across and over Internet has become order of day. Internet of things is an emerging topic o...