The Transpose Technique On Number Of Transactions Of Apriori Algorithm

College of Information Systems & Technology IT/210 Version 5 Fundamentals of Programming With Algorithms and Logic

(Samee Ullah Khan and Ishfaq Ahmad Department of Computer Science and Engineering University of Texas at Arlington, TX-76019, U.S.A.

Makerere University, Faculty of Computing and Information Technology, P.O. Box 7062, Kampala, Uganda, East Africa jlubeg@cit.mak.ac.ug 2 Department of Computer Science, University of Reading, P.O. Box 225, Whiteknights, Reading, Berkshire, RG6 6AY, United Kingdom shirley.williams@reading.ac.uk

Data mining is the procedure of getting new patterns from large amount of data. Data mining is a procedure of finding of beneficial information and patterns from huge data. It is also called as knowledge discovery method, knowledge mining from data, knowledge extraction or data/ pattern analysis. The main goal from data mining is to get patterns that were already unknown. The useful of these patterns are found they can be used to make certain decisions for development of their businesses. Data mining aims to discover implicit, already unknown, and potentially useful information that is embedded in data.

Stair, R. & Reynolds, G. (2006). Fundamentals of Information Systems, Third ed. Chapter 1, pg. 35. Thomson Course Technology.

But data is expanding faster than ever and now facing big data challenges too. In this paper we are

Data mining is the process through which previously unknown patterns in data were discovered. Another definition would be “a process that uses statistical, mathematical, artificial intelligence, and machine learning techniques to extract and identify useful information and subsequent knowledge from large databases.” This includes most types of automated data analysis. A third definition: Data mining is the process of finding mathematical patterns from (usually) large sets of data; these can be rules, affinities, correlations, trends, or prediction models.

Data mining or Knowledge Discovery in Databases (KDD) is discovering patterns from large data groups through methods of artificial intelligence, machine learning ,statistics, and database systems. The aim of data mining process is to extract information from a data group and switch it to an ideal format for future . The data mining process comprise of database and data management aspects, data preprocessing, inference, complexity of discovered structures, and updating.

Dept. of Computer Engineering, Bhivarabai Sawant Institute Of Technology and Reasearch, Wagholi, Pune, India 1

Submitted in partial fulfillment of the requirements for the degree of Bachelor of Engineering in Computer Engineering

Subject: Submission of Final Report towards the fulfillment of my course CS5020 (Internship in Computer Science).

1 M. Tech Scholar, Department of Computer Science & Engineering, Maharashtra Institute of Technology (MIT), Aurangabad, Maharashtra, India

I feel great pleasure in submitting the project work entitled JAVA AND ITS APPLICATION to the department of Computer Science and Engineering, Amity University, Noida.

(Computer Engineering, D.Y. Patil Institute Of Engineering And Technology Ambi / Savitribai Phule University Pune, India)

1M Tech scholar, Department of Computer science engineering, Acropolis Institute of Tech.& Research Bhopal, M.P., India 2Assistant Professor, Department of Computer Science Engineering Acropolis Institute of Tech.& Research Bhopal, M.P., India