UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 4 | April 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 6 Issue 1
January-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1901B13


Registration ID:
196774

Page Number

85-91

Share This Article


Jetir RMS

Title

LARGE UNSTRUCTURED DATASETS FROM MINING COMPETITORS

Abstract

Now-a-days in any business field we are hearing about the word ‗competition‘. So, by competitive analysis we can analyze the competitors and can assess the strengths and weakness of a competitor. Along line of research has demonstrated the strategic importance of identifying and monitoring a firm’s competitors. Motivated by this problem, the marketing and management community have focused on empirical methods for competitor identification as well as on methods for analyzing known competitors. Extant research on the former has focused on mining comparative expressions (e.g. Item A is better than Item ) from the Web or other textual sources. Even though such expressions can indeed be indicators of competitiveness, they are absent in many domains. There are so many efficient methods for addressing the problem of finding top-k competitors in terms of scalability, accuracy

Key Words

Data Mining, Competitor Mining, Competitors, Information search and retrieval

Cite This Article

"LARGE UNSTRUCTURED DATASETS FROM MINING COMPETITORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.85-91, January-2019, Available :http://www.jetir.org/papers/JETIR1901B13.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"LARGE UNSTRUCTURED DATASETS FROM MINING COMPETITORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp85-91, January-2019, Available at : http://www.jetir.org/papers/JETIR1901B13.pdf

Publication Details

Published Paper ID: JETIR1901B13
Registration ID: 196774
Published In: Volume 6 | Issue 1 | Year January-2019
DOI (Digital Object Identifier):
Page No: 85-91
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0002944

Print This Page

Current Call For Paper

Jetir RMS