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90 articles for “Process Mining”
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Research ArticleOpen accessAll words, across the recordA CURE Algorithm for Vietnamese Sentiment Classification in a Parallel EnvironmentVo Ngoc Phu, Vo Thi Ngoc Tran, Jack MaxSolutions to process big data are imperative and beneficial for numerous fields of research and commercial applications. Thus, a new model has been proposed in this paper to be used for big data set sentiment classification in the Cloudera parallel network environment. Clustering Using Representatives (CURE), combined with Hadoop MAP (M) / REDUCE (R) in Cloudera – a parallel network … …Journal of Computer Science, Vol. 15, Issue 10 · 19 Apr 2018 · 7,437 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIntelligent Apriori Algorithm for Complex Activity Mining in Supermarket ApplicationsV. Ganesh Kumar, K. MuneeswaranAs shopping becomes a shared experience and joint process with friends or family members nowadays, the most important problems arise with variety of products and the product information available in the supermarkets. This study proposes a system that uses Intelligent Apriori algorithm to support consumers in getting the required items from various supermarkets. Also this work intelligently suggests the best … …Journal of Computer Science, Vol. 9, Issue 4 · 9 May 2013 · 6,362 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA DATA WAREHOUSE DESIGN FOR THE DETECTION OF FRAUD IN THE SUPPLY CHAIN BY USING THE BENFORD’S LAWCornelia Kraus, Raul ValverdeLarge data volumes and the inability to analyse them enables fraudulent activities to go unnoticed in supply chain management processes such as procurement, warehouse management and inventory management. This fraud increases the cost of the supply chain management and a fraud detection mechanism is necessary to reduce the risk of fraud in this business area. This study was carried out … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 7 Jul 2014 · 8,740 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIntegrated Clustering and Feature Selection Scheme for Text Documents.M. Thangamani, P. ThangarajProblem statement: Text documents are the unstructured databases that contain raw data collection. The clustering techniques are used group up the text documents with reference to its similarity. Approach: The feature selection techniques were used to improve the efficiency and accuracy of clustering process. The feature selection was done by eliminate the redundant and irrelevant items from the text document … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,163 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordImproving Term Extraction Using Particle Swarm Optimization TechniquesMohammad Syafrullah, Naomie SalimProblem statement: Term extraction is one of the layers in the ontology development process which has the task to extract all the terms contained in the input document automatically. The purpose of this process is to generate list of terms that are relevant to the domain of the input document. In the literature there are many approaches, techniques and algorithms … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,138 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordWeighting Spatial Information in GIS for Copper Mining ExplorationFarhad Hosseinali, Ali Asghar AlesheikhExploration of new mines is vitally important for human life. Geospatial Information Systems (GIS) can be effectively used in the gathering, weighting, analyzing and presenting spatial and attribute information to facilitate the mine exploration process. The success of mine exploration largely depends on: the identification of governing factors, the determination of their impacts and the selection of suitable models to … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 8,603 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Backpropagation Neural Network for Splitting IdentifiersAhmed Sabah Ahmed AL-Jumaili, Huda Kadhim Tayyeh, Ruqaia Jawad KadhemSplitting identifiers is a task that has been addressed in the past few years in order to contribute toward improving the Feature Location task. Feature Location aims at determining the exact position of a specific feature within a source code. Several research studies have addressed the process of splitting multi-word identifiers. However, one of the endure gaps that still face … …Journal of Computer Science, Vol. 14, Issue 10 · 31 Oct 2018 · 7,227 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordImproving Question Answering System based on a Hybrid TechniqueAyatallah Gamal Abass, Sameh Abd El-Ghany, Ahmed Abo ElfetohQuestion Answering (QA) is a specialized form of information retrieval characterized by information needs that are expressed as natural language statements or questions. Query expansion is an approach which is used to extend question key words with new related words that are not included in question. In this study, anew association rule based question processing model is introduced. This model … …Journal of Computer Science, Vol. 14, Issue 9 · 15 Aug 2018 · 7,979 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Comparison between Different Data Mining Algorithms in Freight Mode ChoiceAmir Samimi, Hesamoddin Razi-Ardakani, Amir NohekhanThis research aims to study application of support vector machine algorithm, artificial neural networks and five different types of decision trees in predicting mode choice of freight transportation. Performance of these models has been compared with log it model which is one the most prevalent statistical models in the field. Effect of factors such as cargo weight, distance, type and … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 5 Feb 2017 · 7,623 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordA Review on Challenging Issues in Arabic Sentiment AnalysisAli Hamdi, Khaled Shaban, Anazida ZainalUnderstanding what people think about an idea or how they evaluate a product, a service or a policy is important for individuals, companies and governments. Sentiment analysis is the process of automatically identifying opinions expressed in text on certain subjects. The accuracy of sentiment analysis has a direct effect on decision making in both business and government. Working with the … …Journal of Computer Science, Vol. 12, Issue 9 · 11 Dec 2016 · 8,422 accessesView PDFCite