TDPA: Trend Detection and Predictive Analytics
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 3
Abstract
Text mining is the process of exploratory text analysis either by automatic or semi-automatic means that helps finding previously unknown information. Text mining is a highly interdisciplinary research area, bringing together research insights from the fields of data mining, natural language processing, machine learning, and information retrieval. The amount of textual data available is too huge to be managed manually. An automatic system is needed to analyze and interpret the text. Some of the systems are semi automatic requiring user input to begin processing others are fully automatic producing output from the input corpus without guidance. The review literatures on trend detection indicates that much progress has been made toward automating the process of detecting emerging trends but there is room for improvement. In this work, we propose a Trend Detection and Predictive Analytics (TDPA) using Living Analytics to detect emerging trends from live data to cater the needs of various users irrespective of their domain. The system needs to serve as general purpose software that will help the users to identify and visualize current happenings pertaining to any domain in an efficient and user friendly way. The paper also aims at forecasting the future of the trends obtained in helping the users to look forward and make quick decisions.
Authors and Affiliations
M. Sakthi ganesh , CH. Pradeep Reddy , N. Manikandan , DR. P. Venkata krishna
Keywords
Related Articles
- EP ID EP113569
- DOI -
- Views 121
- Downloads 0
WEIGHTAGE FACTOR BASED SCHEME FOR PERFORMANCE IMPROVEMENT IN AD HOC NETWORKS
Ad-hoc networks are a new wireless networking paradigm for mobile hosts. Ad hoc networks don’t require any fixed infrastructure such as base stations or mobile switching centers. Node mobility in an ad-hoc network causes...
Optimization Technique for Maximization Problem in Evolutionary Programming of Genetic Algorithm in Data Mining
The optimization technique is used for the identification of some best values from the various populations. The Evolutionary algorithm is used as a basic concept of the Evolutionary Programming Strategy. To solve many of...
Evolutionary Aspects Of Windows Operating System To Enhance Existing Technology
The evolutionary trends in windows technology tends to hange since from the beginning including kernel, Graphical (GUI), Device drivers, interfaces etc. This paper presents a brief and comprehensive statistical analysis...
A Novel Approach to Clustering of Proteins
Data Analysis plays an indispensable role for understanding various phenomena. Clustering algorithms are a class of important tools for data analysis. K-means cluster analysis is considered to cluster protein variates ac...
An Analysis on Endaira: A Provably Secure On-Demand Source Routing Protocol
Routing is one of the most basic networking functions in mobile ad hoc networks. Secure routing protocols for mobile ad hoc networks provide the necessary functionality for proper network operation. Hence, an adversary c...