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136 articles for “Transaction”
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Research ArticleOpen accessIn the abstractFROM DATA MINING AND KNOWLEDGE DISCOVERY TO BIG DATA ANALYTICS AND KNOWLEDGE EXTRACTION FOR APPLICATIONS IN SCIENCESubana Shanmuganathan"Data mining" for "knowledge discovery in databases" and associated computational operations first introduced in the mid-1990 s can no longer cope with the analytical issues relating to the so-called "big data". The recent buzzword big data refers to large volumes of diverse, dynamic, complex, longitudinal and/or distributed data generated from instruments, sensors, Internet transactions, email, video, click streams, noisy, structured/unstructured … …Journal of Computer Science, Vol. 10, Issue 12 · 20 Jan 2015 · 8,740 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Image Generation Algorithm Using Fractals and Chaos TheoryK. Thamizhchelvy, G. GeethaAn Efficient Image Generation Algorithm is proposed. It generates Message Authentication Image (MAI) by using Fractals and chaos theory. The fractal images are generated by using Iterated Function System (IFS) techniques. We implemented and generated the fractal images exploring the properties of chaos. Chaos is an unpredictable behavior arises in a dynamical system so that the future behavior is not … …Journal of Computer Science, Vol. 11, Issue 2 · 10 Sep 2014 · 7,425 accessesView PDFCite
Research ArticleOpen accessIn the abstractFREQUENT CORRELATED PERIODIC PATTERN MINING FOR LARGE VOLUME SET USING TIME SERIES DATAG. M. Karthik, S. KarthikFrequent pattern mining has been a widely used in the area of discovering association and correlations among real data sets. However, discovering interesting correlation relationship among huge number of co-occurrence patterns are complicated, a majority of them are superfluous or uninformative. Mining correlations among large pile of useless information is extraordinarily useful in real-time applications. In this study, we propose … …Journal of Computer Science, Vol. 10, Issue 10 · 30 Jun 2014 · 6,608 accessesView PDFCite
Research ArticleOpen accessIn the abstractMAY PARENTS INHERIT FROM HEIRS? TOWARDS AN UNDERSTANDING OF THE PARENT-SPUN-OFF RELATIONSHIPFederica Brunetta, Enzo PeruffoSpin-offs create financially and administratively stand-alone units that hold a strong affiliation with the parent firm due to the concurrence of the ownership structure. So far, few studies have adopted a process perspective to investigate on the value creation of spin off transactions. We argue that spin-off generation does not constitute firm failures, as parents have clear channels to appropriate … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 3 Apr 2014 · 7,075 accessesView PDFCite
Research ArticleOpen accessIn the abstractFUZZY SIMPLE ADDITIVE WEIGHTING BASED, DECISION SUPPORT SYSTEM APPLICATION FOR ALTERNATIVE CONFUSION REDUCTION STRATEGY IN SMARTPHONE PURCHASESRobertus Nugroho Perwiro Atmojo, Anindito, Bens Pardamean et al.Consumer confusion is a phenomena when the consumer experiencing several confusion problems when she/he should to purchase products/services. Usually, consumer will do a strategy to coping the confusion, that strategy is known as Confusion Reduction Strategy. The conventional ways usually taken by the consumer to reduce the confusion are, such as: Asking for product recommendation to close relatives, seeking for … …American Journal of Applied Sciences, Vol. 11, Issue 4 · 8 Feb 2014 · 7,588 accessesView PDFCite
Research ArticleOpen accessIn the abstractCARING MORE BY DOING LESS? AN ENQUIRY ABOUT THE IMPACTS OF OUTSOURCING ON PATIENT CAREFederica Brunetta, Luca Giustiniano, Lucia MarchegianiThis study seeks to understand the potential impact of outsourcing on healthcare processes. By referring to a wider scope of industries and sectors, as they have been the experimental fields of most of the studies on outsourcing, we highlight the pros and cons of the externalization of activities related to patient care. Our purpose is to show and contextualize the … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 24 Dec 2013 · 7,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOMPARISON USING PARTICLE SWARM OPTIMIZATION AND GENETIC ALGORITHM FOR TIMETABLE SCHEDULINGDennise AdriantoLecturer timetable scheduling is an important part in the resource allocation planning. Due to the large amount of transactions and various related constraints have to be taken into account in timetable scheduling process, resource manager team shall need a lot of time to the solve the problem. This research is aimed to discuss the application of Particle Swarm Optimization (PSO) … …Journal of Computer Science, Vol. 10, Issue 2 · 20 Nov 2013 · 7,027 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid of Fuzzy Clustering Neural Network Over NSL Dataset for Intrusion Detection SystemDahlia Asyiqin Ahmad Zainaddin, Zurina Mohd HanapiIntrusion Detection System (IDS) is one of the component that take part in the system defence, to identify abnormal activities happening in the computer system. Nowadays, IDS facing composite demands to defeat modern attack activities from damaging the computer systems. Anomaly-Based IDS examines ongoing traffic, activity, transactions and behavior in order to identify intrusions by detecting anomalies. These technique identifies … …Journal of Computer Science, Vol. 9, Issue 3 · 4 May 2013 · 6,574 accessesView PDFCite
Research ArticleOpen accessIn the abstractHome Users Security and the Web Browser Inbuilt Settings, Framework to Setup it AutomaticallyMohammed Serrhini, Abdelazziz Ait MoussaWe are living in the electronic age where electronic transactions such as e-mail, e-banking, e-commerce and e-learning becoming more and more prominent. To access online for this services, the web browser is today’s almost unique software used. These days’ hackers know that browsers are installed into all computers and can be used to compromise a machine by distributing malware via … …Journal of Computer Science, Vol. 9, Issue 2 · 1 Apr 2013 · 6,806 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Algorithm for Mining Spatially Co-located Moving ObjectsG. Manikandan, S. SrinivasanMining co-location patterns from spatial databases may disclose the types of spatial features which are likely located as neighbors’ in space. Accordingly, we present an algorithm previously for mining spatially co-located moving objects using spatial data mining techniques and Prim’s Algorithm. In the previous technique, the scanning of database to mine the spatial co-location patterns took much computational cost. In … …American Journal of Applied Sciences, Vol. 10, Issue 3 · 2 Mar 2013 · 6,649 accessesView PDFCite