Association Rule Mining (ARM) is concerned with how items in a transactional database are grouped together. It is commonly known as market basket analysis, because it can be likened to the analysis of items that are frequently put together in a basket by shoppers in a market. From a statistical point of view, it is a semiautomatic technique to discover correlations among a set of variables. ARM...

Corresponding Author: Lekha. A., Research Scholar, Dr M G R Educational Research Institute, Chennai, India-600095, Assistant Professor, Department of MCA, PESIT, Bangalore Email: [email protected] Abstract: The paper attempts to propose a fuzzy logic association algorithm to predict the risks involved in identifying diseases like breast cancer. Fuzzy logic algorithm is used to find associatio...

Data mining is a field encompassing study of the tools and techniques to assist humans in intelligently analyzing (mining) mountains of data. Data mining has found successful applications in many fields including sales and marketing, financial crime identification, portfolio management, medical diagnosis, manufacturing process management and health care improvement etc.. Data mining techniques ...

This paper aims to explain the web-enabled tools for educational data mining. The proposed web-based tool developed using Asp.Net framework and php can be helpful for universities or institutions providing the students with elective courses as well improving academic activities based on feedback collected from students. In Asp.Net tool, association rule mining using Apriori algorithm is used wh...

We present a general framework to support the compositional verification of timed systems using the interactive theorem prover PVS. The framework is based on timed traces that are an abstraction of the timed semantics of flat UML state machines. We define a compositional proof rule for parallel composition and prove its soundness in PVS. After composition, a hiding rule can be applied to hide i...

Association Rule Mining is a machine learning method for discovering the interesting relations between attributes in huge transaction database. Typically, algorithms generate number of association rules, from which it hard to extract structured knowledge and present this automatically form that would be suitable user. Recently, an information cartography has been proposed creating summaries vis...