A Review Of Major Frequent Item Set Mining Techniques

Authors: Prof Amar Yadav, Ms Sneha Ullas

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Abstract: Data Mining extracts knowledge from large databases to discover existing and newer patterns. Data mining is the technique of automatic finding of hidden valuable patterns and relationships from huge volume of data stored in databases in order to help make better business decisions. Discovering useful patterns hidden in a database plays an essential role in several data mining tasks. Frequent item sets find application in a number of real- life contexts. Buying a PC first, then a digital camera, and then a memory card, if it occurs frequently in a shopping history database, is a frequent pattern. The market basket analysis is one of the applications of the frequent item-set mining .It analyses customer buying habits by finding associations between the different items that customers place in their shopping baskets. Most of the past work has been on finding frequent item sets, but also infrequent item-set mining has demonstrated its utility in different areas.

Keywords: Doppler Diversity, OFDM, Pilot Sequences, Channel estimation, Least Square

Paper Id: 116

Published On: 2018-03-01

Published In: Volume 6, Issue 2, March-April 2018

Cite This: A Review Of Major Frequent Item Set Mining Techniques - Prof Amar Yadav, Ms Sneha Ullas - IJIRMPS Volume 6, Issue 2, March-April 2018.

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