Research ArticleOpen accessIn the keywordsAn Ontology Based Approach to Implement the Online Recommendation SystemVijayakumar Mohanraj, Muthaial ChandrasekaranProblem statement: Every web user has different intent when accessing the information on website. The primary goal of recommendation system is to anticipate the user intent and recommend the web pages that contain user expected information. Effective recommendation of web pages involves two important challenges: accurately identifying the user intent and predict the result show that novel web usage mining … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,868 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUsing Unique-Prime-Factorization Theorem to Mine Frequent Patterns without Generating TreeHossein Tohidi, Hamidah IbrahimProblem statement: Ffrequent patterns are patterns that appear in a data set frequently. Finding such frequent patterns plays an essential role in mining associations, correlations and many other interesting relationships among data. Approach: Most of the previous studies adopt an Apriorilike approach. For huge database it may need to generate a huge number of candidate sets. An interest solution is … …American Journal of Economics and Business Administration, Vol. 3, Issue 1 · 7 Jan 2011 · 8,839 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIncremental DataGrid Mining Algorithm for Mobility Prediction of Mobile UsersU. Sakthi, R.S. BhuvaneswaranProblem statement: Mobility prediction is the important issue in Personal Communication Systems (PCS). Mobile users moving logs are stored in data grid located in different locations. Distributed data mining algorithm is applied on this moving logs to generate the mobility pattern of mobile users. As new moving logs are added to the data grid, existing mobility pattern becomes invalid and … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 6,775 accessesView PDFCite
Research ArticleOpen accessIn the keywordsArabic Online Event-Based System for Monitoring and Extracting Infectious Disease-Related InformationMeshrif AlruilyWith the revolution of the internet, online data play a significant role in identifying disease outbreaks. This has led researchers, governments and organizations to pay close attention to such data in order to employ and exploit them in developing event-based systems. This research studies the infectious disease outbreaks domain in the Arabic language. In this paper, the Arabic Surveillance Infectious … …Journal of Computer Science, Vol. 15, Issue 1 · 22 Jan 2019 · 7,420 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Hidden Genetic Layer Based Neural Network for Mobility PredictionL. Velmurugan, P. ThangarajProblem statement: With numerous wireless devices increasingly connecting to the internet, WLAN infrastructure planning becomes very important to maintain desired quality of services. For maintaining desired quality of service it is desirable to know the movement pattern of users. Mobility prediction involves finding the mobile device's next access point as it moves through the wireless network. Hidden Markov models and … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 11 Feb 2012 · 7,224 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Integrated Framework for Mixed Data Clustering Using Self Organizing MapHari Prasad Devaraj, M. PunithavalliProblem statement: Clustering plays an important role in data mining of large data and helps in analysis. This develops a vast importance in research field for providing better clustering technique. There are several techniques exists for clustering the similar kind of data. But only very few techniques exists for clustering mixed data items. This leads to the requirement of better … …Journal of Computer Science, Vol. 7, Issue 11 · 18 Aug 2011 · 7,304 accessesView PDFCite
Research ArticleOpen accessIn the keywordsClassifying Single Trail Electroencephalogram Using Gaussian Smoothened Fast Hartley Transform for Brain Computer Interface during Motor ImageryV. B. Deepa, P. Thangaraj, S. ChitraProblem statement: Brain-Computer Interface (BCI) is a emerging research area which translates the brain signals for any motor related actions into computer understandable signals by capturing the signal, processing the signal and classifying the motor imagery. This area of work finds various applications in neuroprosthetics. Mental activity leads to changes of electrophysiological signals like the Electroencephalogram (EEG) or Electrocorticogram (ECoG). … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 6,658 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMining Fuzzy Weighted Browsing Patterns from Time Duration and with Linguistic ThresholdsTzung-Pei Hong, Ming-Jer Chiang, Shyue-Liang WangWorld-wide-web applications have grown very rapidly and have made a significant impact on computer systems. Among them, web browsing for useful information may be most commonly seen. Due to its tremendous amounts of use, efficient and effective web retrieval has become a very important research topic in this field. Techniques of web mining have thus been requested and developed to … …American Journal of Applied Sciences, Vol. 5, Issue 12 · 31 Dec 2008 · 6,397 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA New Incremental Updating Algorithm for Mining Sequential PatternsJia-Dong Ren, Xiao-Lei ZhouThis study discusses how to maintain discovered sequential patterns when some information is deleted from a sequence database. A new algorithm, called MA_D (Maintenance Algorithm when Deleting some information), is presented in order to deal with the maintenance of sequential patterns mining resulted from the updating of database and the algorithm makes full use of the information obtained from previous … …Journal of Computer Science, Vol. 2, Issue 4 · 30 Apr 2006 · 6,613 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Efficient Approach for Computing Silhouette CoefficientsMoh'd B. Al- Zoubi, Mohammad al RawiOne popular approach for finding the best number of clusters (K) in a data set is through computing the silhouette coefficients. The silhouette coefficients for different values of K, are first found and then the maximum value of these coefficients is chosen. However, computing the silhouette coefficient for different Ks is a very time consuming process. This is due to … …Journal of Computer Science, Vol. 4, Issue 3 · 31 Mar 2008 · 8,067 accessesView PDFCite