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240 articles for “Data mining”
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Research ArticleOpen accessIn the abstractAn Efficient Algorithm for Mining Maximal Frequent Item SetsA. M.J.M.Z. Rahman, P. BalasubramanieProblem Statement: In today's life, the mining of frequent patterns is a basic problem in data mining applications. The algorithms which are used to generate these frequent patterns must perform efficiently. The objective was to propose an effective algorithm which generates frequent patterns in less time. Approach: We proposed an algorithm which was based on hashing technique and combines a … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,570 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Effective Data Transformation Approach for Privacy Preserving ClusteringR. R. Rajalaxmi, A. M. NatarajanA new stream of research privacy preserving data mining emerged due to the recent advances in data mining, Internet and security technologies. Data sharing among organizations considered to be useful which offer mutual benefit for business growth. Preserving the privacy of shared data for clustering was considered as the most challenging problem. To overcome the problem, the data owner published … …Journal of Computer Science, Vol. 4, Issue 4 · 30 Apr 2008 · 7,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring Spatial ARM (Spatial Association Rule Mining) for Geo-Decision Support SystemRanjana Vyas, Lokesh Kumar Sharma, U. S. TiwaryGeographical Decision Support System (Geo-DSS) is a demanding field, since enormous amount of spatial data have been collected in various applications, ranging form Remote Sensing to GIS, Computer Cartography, Environmental Assessment and Planning. Although some efforts were made to combine spatial mining with Spatial Decision Support System but mostly researchers for spatial database are using a popular data mining approach-Apriori … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 6,962 accessesView PDFCite
Research ArticleOpen accessIn the abstractCustomized Privacy Preservation Using Unknowns to Stymie Unearthing Of Association RulesJ. Indumathi, G.V. UmaThe explosions of new data mining techniques has augmented privacy risks because now it is probable to powerfully coalesce and cross-examine massive data stores, accessible on the web, in the rummage around of earlier unidentified hidden patterns. Consecutively to make a overtly accessible system safe and sound, we must guarantee not only that private sensitive data have been trimmed out, … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 7,121 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Classification of Techniques for Web Usage AnalysisHaider Ramadhan, Muna Hatem, Zuhoor Al-Khanjri, Swamy KuttiTechniques which assist in recognizing various access patterns and interests of the Web users are normally referred to as an application of Web usage mining. The application provides useful insights to address crucial points such as user interests into a particular page, server load balancing, Web site reorganization, clustering of similar browsing patterns, classification of user profiles, content caching or … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,790 accessesView PDFCite
Review ArticleOpen accessIn the abstractAn Insight into Rare Class Problem: Analysis and Potential SolutionsSatyam Maheshwari, R.C. Jain, R.S. JadonThe class imbalance problem presents an important challenge to the data mining community, in which the number of examples of one class is more than the others. This problem is characterized by a different distribution of cases between all the classes. In this paper, our goal is to study the various challenges of class imbalance problem and provide a comparative … …Journal of Computer Science, Vol. 14, Issue 6 · 9 May 2018 · 8,393 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Distinguishability Based Weighted Feature Selection Algorithms for Improved Classification of Gene Microarray DatasetJ. Jeyachidra, M. PunithavalliData mining played vital role in comprehending, analyzing, understanding and interpreting microarray technology expression data. That includes search for genes that had similar or correlated patterns of expression. For that, the feature selection was one of the frequently used important techniques for data preprocessing. Many feature selection algorithms had been developed. Yet the persisting problem was in selecting optimal subset … …Journal of Computer Science, Vol. 11, Issue 2 · 2 Feb 2015 · 6,380 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic Algorithm Based Probabilistic Motif Discovery in Unaligned Biological SequencesM. Hemalatha, K. VivekanandanFinding motif in biosequences is the most important primitive operation in computational biology. There are many computational requirements for a motif discovery algorithm such as computer memory space requirement and computational complexity. To overcome the complexity of motif discovery, we propose an alternative solution integrating genetic algorithm and Fuzzy Art machine learning approaches for eliminating multiple sequence alignment process. Problem … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,730 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Systematic Literature Review on Extraction of Parallel Corpora from Comparable CorporaDilshad Kaur, Satwinder SinghIn today’s Globalized Scenario, the requirement for translation is high and increasing rapidly in the number of fields, but it is difficult to translate everything manually. Machine Translation, which is dependent on corpora availability, is a medium for meeting this high demand for translation. Parallel corpora are used to gain most translation knowledge. But, the number and quality of parallel … …Journal of Computer Science, Vol. 17, Issue 10 · 27 Oct 2021 · 6,700 accessesView PDFCite
Research ArticleOpen accessIn the abstractTracking Pointer and Look Ahead Matching Strategy to Evaluate Iceberg Driven QueryKale Sarika Prakash, P.M. Joe PrathapIceberg driven query is important and common in many applications of data mining and data warehousing. Main property of iceberg driven query is it extracts small set of data from huge database. It works on aggregation function followed by GROUP BY and HAVING clause. Due to involvement of aggregation function execution of iceberg driven query becomes tedious and complex work. … …Journal of Computer Science, Vol. 13, Issue 3 · 17 Apr 2017 · 7,304 accessesView PDFCite