loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Rezoug Nachida 1 ; Omar Boussaid 2 and Fahima Nader 3

Affiliations: 1 Blida University, Algeria ; 2 Lyon 2 University, France ; 3 ESI Institute, Algeria

ISBN: 978-989-8425-79-9

Keyword(s): Personalization, Recommendation, Profile, Data-warehouses, Machine-learning, Data-mining.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Computational Intelligence ; Data Analytics ; Data Engineering ; Evolutionary Computing ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems

Abstract: OLAP systems facilitate analysis by providing a multidimensional data space which decision makers explore interactively by a succession of OLAP operations. However, these systems are developed for a group of decision makers or topic analysis "subject-oriented", which are presumed, have identical needs. It makes them unsuitable for a particular use. Personalization aims to better take into account the user; first this paper presents a summary of all work undertaken in this direction with a comparative study. Secondly we developed a search algorithm for class association rules between query type and user (s) to deduce the profile of a particular user or a user set in the same category. These will be extracted from the log data file of OLAP server. For this we use a variant of prediction and explanation algorithms. These profiles then form a knowledge base. This knowledge base will be used to generate automatically a rule base (ACE), for assigning weights to the attributes of data wareho uses by type of query and user preferences. More it will deduce the best contextual sequence of requests for eventual use in a recommended system. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.88.156.58

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Nachida, R.; Boussaid, O.; Boussaid, O. and Nader, F. (2011). INTEGRATION OF PROFILE IN OLAP SYSTEMS.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011) ISBN 978-989-8425-79-9, pages 312-324. DOI: 10.5220/0003669103200332

@conference{kdir11,
author={Rezoug Nachida. and Omar Boussaid. and Omar Boussaid. and Fahima Nader.},
title={INTEGRATION OF PROFILE IN OLAP SYSTEMS},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)},
year={2011},
pages={312-324},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003669103200332},
isbn={978-989-8425-79-9},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)
TI - INTEGRATION OF PROFILE IN OLAP SYSTEMS
SN - 978-989-8425-79-9
AU - Nachida, R.
AU - Boussaid, O.
AU - Boussaid, O.
AU - Nader, F.
PY - 2011
SP - 312
EP - 324
DO - 10.5220/0003669103200332

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.