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245 results for “Data Mining (DM)”
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Research ArticleOpen accessEvery word in the titleDATA MINING IN BANKING AND ITS APPLICATIONS-A REVIEWSreekumar Pulakkazhy, R. V.S. BalanBanking systems collect huge amounts of data on day to day basis, be it customer information, transaction details, risk profiles, credit card details, limit and collateral details, compliance and Anti Money Laundering (AML) related information, trade finance data, SWIFT and telex messages. Thousands of decisions are taken in a bank daily. These decisions include credit decisions, default decisions, relationship start … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 9,444 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Review on Data Mining in Banking SectorVikas Jayasree, Rethnamoney Vijayalakshmi Siva BalanThe banking industry has undergone various changes in the way they conduct the business and focus on modern technologies to compete the market. The banking industry has started realizing the importance of creating the knowledge base and its utilization for the benefits of the bank in the area of strategic planning to survive in the competitive market. In the modern … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 9,482 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUsing Feature Selection as Accuracy Benchmarking in Clinical Data MiningJafreen Hossain, Nor FazlidaMohdSani, Aida Mustapha, Lilly SurianiAffendeyAutomated prediction of new patients’ disease diagnosis based on data mining analysis on historical data is proven to be an extremely useful tool in the medical innovation. There are several studies focusing on this particular aspect. The objective of this study is two-fold. First, we look into three different classifiers, which are the Naïve Bayes, Multilayer Perceptron (MLP) and Decision … …Journal of Computer Science, Vol. 9, Issue 7 · 20 Jun 2013 · 7,460 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluating the Strengths and Weaknesses of Mining Audit Data for Automated Models for Intrusion Detection in Tcpdump and Basic Security Module DataG. Mohammed Nazer, A. Arul Lawrence SelvakumarProblem statement: Intrusion Detection System (IDS) have become an important component of infrastructure protection mechanism to secure the current and emerging networks, its services and applications by detecting, alerting and taking necessary actions against the malicious activities. The network size, technology diversities and security policies make networks more challenging and hence there is a requirement for IDS which should be … …Journal of Computer Science, Vol. 8, Issue 10 · 25 Aug 2012 · 7,126 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleData Relay Clustering Algorithm for Wireless Sensor Networks: A Data Mining ApproachS. Nithyakalyani, S. Suresh KumarProblem statement: Nowadays sensors are very essential for today life to monitor environment where human cannot get involved very often. Wireless Sensor Networks (WSN) are used in many real world applications like environmental monitoring, traffic control, trajectory monitoring. It is more challenging for sensor network to sense and collect a large amount of data which are continuous over time, which … …Journal of Computer Science, Vol. 8, Issue 8 · 14 Jul 2012 · 7,193 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePrivacy Preserved Collaborative Secure Multiparty Data MiningM. Balamurugan, J. Bhuvana, S. Chenthur PandianProblem statement: In the current modern business environment, its success is defined by collaboration, team efforts and partnership, rather than lonely spectacular individual efforts in isolation. So the collaboration becomes especially important because of the mutual benefit it brings. Sometimes, such collaboration even occurs among competitors, or among companies that have conflict of interests, but the collaborators are aware that … …Journal of Computer Science, Vol. 8, Issue 6 · 16 Mar 2012 · 7,161 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Data Mining Technique to Find Optimal Customers for Beneficial Customer Relationship ManagementG. Babu, T. BhuvaneswariProblem statement: Modern companies and organizations are efficiently implementing a CRM strategy for managing a company interactions and relationships with customers. CRM systems have been developed and designed to support the areas of marketing, service process and sales. Many literature studies are available to preserve the customer relationship but small drawbacks occur in the existing methods. One method to maintain … …Journal of Computer Science, Vol. 8, Issue 1 · 1 Nov 2011 · 7,260 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Novel Technique for Web Log mining with Better Data Cleaning and Transaction IdentificationJ. Vellingiri, S. Chenthur PandianProblem statement: In the internet era web sites on the internet are useful source of information for almost every activity. So there is a rapid development of World Wide Web in its volume of traffic and the size and complexity of web sites. Web mining is the application of data mining, artificial intelligence, chart technology and so on to the … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 6,889 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Descriptive Framework for the Multidimensional Medical Data Mining and RepresentationVeeramalai Sankaradass, Kannan ArputharajProblem statement: Association rule mining with fuzzy logic was explored by research for effective datamining and classification. Approach: It was used to find all the rules existing in the transactional database that satisfy some minimum support and minimum confidence constraints. Results: In this study, we propose new rule mining technique using fuzzy logic for mining medical data in order to … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,932 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproving Accuracy and Coverage of Data Mining Systems that are Built from Noisy Datasets: A New ModelLuai A. Al ShalabiProblem statement: Noise within datasets has to be dealt with under most circumstances. This noise includes misclassified data or information as well as missing data or information. Simple human error is considered as misclassification. These errors will decrease the accuracy of the data mining system so it will not be likely to be used. The objective was to propose an … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 7,820 accessesView PDFCite