Using Association Rule Mining for Extracting Product Sales Patterns in Retail Store Transactions

Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 5

Abstract

Computers and software play an integral part in the working of businesses and organisations. An immense amount of data is generated with the use of software. These large datasets need to be analysed for useful information that would benefit organisations, businesses and individuals by supporting decision making and providing valuable knowledge. Data mining is an approach that aids in fulfilling this requirement. Data mining is the process of applying mathematical, statistical and machine learning techniques on large quantities of data (such as a data warehouse) with the intention of uncovering hidden patterns, often previously unknown. Data mining involves three general approaches to extracting useful information from large data sets, namely, classification, clustering and association rule mining. This paper elaborates upon the use of association rule mining in extracting patterns that occur frequently within a dataset and showcases the implementation of the Apriori algorithm in mining association rules from a dataset containing sales transactions of a retail store.

Authors and Affiliations

Pramod Prasad , Dr. Latesh Malik

Keywords

Related Articles

A Comparison of the TCP VariantsPerformance over different Routing Protocols on Mobile Ad Hoc Networks

Abstract: We describe a variant of TCP (Tahoe, Vegas), TCP is most widely used transport protocol in both wired and wireless networks. In mobile ad hoc networks, the topology changes frequently due to mobile nodes, this...

Routing in Highly Dynamic Ad Hoc Networks: Issues and Challenges

The aim of this research paper is to analyze the various issues and challenges involved in routing of data packets in highly mobile ad hoc networks. Routing in ad hoc networks has always been a challenging and tough task...

Observer Design for Simultaneous State and Faults Estimation

This paper addresses the problem of state and faults estimation for Takagi-Sugeno nonlinear systems. Based on this structure for modeling, a proportional integralmultiple observer with unknown inputs is proposed in order...

Medical Image Matching and Retrieval using Discrete Sine Transform

Visual information has been extensively used in the areas of multimedia, medical imaging and other numerous applications. Management of these visual information is challenging as the quantity of data available is very hu...

New Design of Crypto-Based Pseudo random number generator (CBPRNG) using BLOW FISH cipher

Random Number Generators (RNGs) are an important building block for algorithms and protocols in cryptography. Random number generation is used in a wide variety of cryptographic operations, such as key generation and cha...

Download PDF file
  • EP ID EP108141
  • DOI -
  • Views 121
  • Downloads 0

How To Cite

Pramod Prasad, Dr. Latesh Malik (2011). Using Association Rule Mining for Extracting Product Sales Patterns in Retail Store Transactions. International Journal on Computer Science and Engineering, 3(5), 2177-2182. https://europub.co.uk/articles/-A-108141