A SURVEY OF TIME SERIES DATA PREDICTION ON SHOPPING MALL
Journal Title: Indian Journal of Computer Science and Engineering - Year 2013, Vol 4, Issue 2
Abstract
Tremendous amount of data streams are often generated by dynamic environments such as stock’s and bond’s price indices, telecommunications data, audio and video data, Network traffic and data related to various Shopping malls. Mining regular patterns is one of the most important task in data mining. A time series database consists of various sequences of values that are obtained over a stipulated period of time. The values are typically measured at equal time stamps (eg., hourly, daily, weekly) which are sequence of ordered events, with or without concrete notations of time. The function is to mine all the transactional data which describes the behavior of various transactions. In an online business or in a shopping mall, the customers can purchase more than one item at a time. Frequent patterns are those that appear most often in a data set as a collection of various item sets or its subsequences. The algorithms like Apriori and FP Growth are used to mine the frequent patterns of a item set. The Apriori algorithm generates candidate set during its each iteration. It reduces the dataset by removing all the irregular itemsets which does not meet the minimum threshold values from the candidate sets. The most expensive phase of FP Growth algorithm is to generate a candidate set and to mine the database [1].
Authors and Affiliations
Mohammed Ali. Shaik , S. Narasimha Rao , Abdul Rahim
Keywords
Related Articles
- EP ID EP135767
- DOI -
- Views 121
- Downloads 0
Searching SNT in XML Documents Using Reduction Factor
XML has become the most popular standard for data representation. In XML standard the documents represented as rooted ordered trees. The efficient query processing can be performed on the labeled document structure. The...
SERVICE-ORIENTED CLOUD ARCHITECTURE SCHEMA TO BRIDGE GAP BETWEEN STUDENT, STAFF AND ACADEMIA
Cloud Computing is a new resource platform that offers abundant amount of services for organizations to meet furthermore satisfies the needs without huge and prior investment. When it comes to the development of a cloud,...
An Extended Model Driven Framework for End-to-End Consistent Model Transformation
Model Driven Development (MDD) results in quick transformation from models to corresponding systems. Forward engineering features of modelling tools can help in generating source code from models. To build a robust syste...
STUDY OF SDN USING MININET
The traditional architecture of networks has long supported the needs of the data centers. However, with the today’s heavy data usage by users, the need for a shift to virtualizing functions and applying a more modern ap...
SEAMLESS MULTIMEDIA COMMUNICATION OVER HETEROGENEOUS ETWORKS: A LINUX DAEMON APPROACH
Our proposed solution is a Linux daemon approach to vertical handoff for heterogeneous networks. We develop a daemon that accomplishes the handoff process between various radio interfaces supporting IP. This addresses se...