Term weighting based class indexes using space density for Al-Qur'an relevant meaning ranking

Kurniawati, Kurniawati and Syauqi, A'la (2016) Term weighting based class indexes using space density for Al-Qur'an relevant meaning ranking. Presented at 8th International Conference on Advanced Computer Science and Information Systems, 15 October 2016 through 16 October 2016, Universitas Brawijaya (UB) Malang Indonesia.

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Abstract

Nowadays information retrieval based on specific queries is already used in computer system. One of the popular methods is document ranking using Vector Space Model (SVM) based on TF.IDF term-weighting. In this paper TF.IDF.ICSδF term-weighting based class-indexing is proposed, afterward comparing its effectiveness to TF.IDF and TF.IDF.ICF term weighting. Each method is investigated through Al-Qur'an dataset. Al-Qur'an consist many verses, each verse of the Al-Qur'an is a single document which is ranked based on user query. The experimental show that the proposed method can be implemented on document ranking and the performance is better than previous methods with accurate value 93%. © 2016 IEEE.

Item Type:	Conference (Paper)
Keywords:	class indexing; document ranking; ICF; ICSδF; term weighting; TF.IDF; Indexing (of information); Information systems; Intelligent control; Vector spaces; Document ranking; Space densities; Term weighting; TF.IDF; User query; Vector space models
Divisions:	Faculty of Technology > Department of Informatics Engineering
Depositing User:	Faizuddin Harliansyah
Date Deposited:	28 May 2018 14:09

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