LEADER 06264nam 22007215 450 001 9910299712403321 005 20251113185606.0 010 $a9789814585187 010 $a9814585181 024 7 $a10.1007/978-981-4585-18-7 035 $a(OCoLC)874567967 035 $a(MiFhGG)GVRL6XJZ 035 $a(CKB)3710000000078959 035 $a(MiAaPQ)EBC1636854 035 $a(MiFhGG)9789814585187 035 $a(MiAaPQ)EBC4071880 035 $a(DE-He213)978-981-4585-18-7 035 $a(EXLCZ)993710000000078959 100 $a20131214d2014 u| 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aProceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013) /$fedited by Tutut Herawan, Mustafa Mat Deris, Jemal Abawajy 205 $a1st ed. 2014. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2014. 215 $a1 online resource (xxi, 730 pages) $cillustrations (some color) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v285 300 $a"ISSN: 1876-1100." 311 08$a9789814585170 311 08$a9814585173 320 $aIncludes bibliographical references at the end of each chapters. 327 $a""Preface""; ""Acknowledgments""; ""Conference organisation""; ""Steering Committee""; ""Chair""; ""Publication Chair""; ""Program Committee Chair""; ""Organizing Chair""; ""Student Committee""; ""Program Committee""; ""Workshop on Recent Advances in Information Systems""; ""Workshop on Mining Educational Data for Effective Educational Resources""; ""Contents""; ""Part I: Database Theory""; ""A Log File Analysis Technique using Binary-BasedApproach""; ""1 Introduction""; ""2 Literature Review""; ""3 Proposed Binary-Based Log File Analysis Technique""; ""4 Experimental Results"" 327 $a""5 Conclusion""""References""; ""An Application of Oversampling, Undersampling, Bagging and Boosting in Handling Imbalanced Datasets""; ""1 Introduction""; ""2 Literature Reviews""; ""3 Methodology""; ""3.1 Cardiac Surgery Data""; ""3.2 Undersampling and Oversampling""; ""3.3 Bagging and Boosting""; ""3.4 Model Performance Measures""; ""4 Results""; ""5 Conclusion""; ""References""; ""Excel-Database Converting System using DataNormalization Technique""; ""1 Introduction""; ""2 Related Work""; ""3 Methodology""; ""4 Results and Discussions""; ""4.1 Data Gathering - Interview"" 327 $a""4.2 System Flow""""4.3 Normalization Algorithms""; ""4.4 User Interface""; ""4.5 Testing""; ""5 Conclusion""; ""References""; ""Model for Automatic Textual Data Clustering inRelational Databases Schema""; ""1 Introduction""; ""2 Related studies""; ""3 Incremental and Dynamic Repository and Semantic Query""; ""3.1 Incremental and Dynamic Repository""; ""3.2 Semantic Operator in SQL""; ""4 Conclusion""; ""References""; ""Sampling Semantic Data Stream: ResolvingOverload and Limited Storage Issues""; ""1 Introduction""; ""2 Extension to Existing Systems""; ""3 Sampling Methods"" 327 $a""3.1 Uniform Random Sampling""""3.2 Reservoir Sampling""; ""3.3 Chain Sampling""; ""4 Experimentation""; ""5 Conclusion""; ""References""; ""Shared-Table for Textual Data Clustering in DistributedRelational Databases""; ""1 Introduction""; ""2 Related Studies""; ""3 Distributed Database Architecture""; ""4 Shared-Table""; ""5 Conclusion""; ""References""; ""Part IIData Warehousing and Mining""; ""A Graph-based Reliable User Classification""; ""1 Introduction""; ""2 User Classification""; ""3 A graph-based reliable user extraction method""; ""3.1 Extracting socially well-known users"" 327 $a""3.2 Extracting reliable and highly active users""""5 Conclusion""; ""4 Experiments and Evaluation""; ""References""; ""A Modified Artificial Bee Colony Optimization for Functional Link Neural Network Training""; ""1 Introduction""; ""2 Related Works""; ""2.1. An Overview of Functional Link Neural Network""; ""2.2. FLNN learning Scheme""; ""2.3. Artificial Bee Colony Optimization""; ""3 Proposed Learning Scheme""; ""4 Experimentation""; ""5 Result and Discussion""; ""6 Conclusion""; ""Acknowledgement""; ""References""; ""A Review on Bloom Filter Based Approaches for RFIDData Cleaning"" 327 $a""1 Introduction"" 330 $aThe proceeding is a collection of research papers presented  at the International Conference on Data Engineering 2013 (DaEng-2013), a conference dedicated to address the challenges in the areas of database, information retrieval, data mining and knowledge management, thereby presenting a consolidated view to the interested researchers in the aforesaid fields. The goal of this conference was to bring together researchers and practitioners from academia and industry to focus on advanced on data engineering concepts and establishing new collaborations in these areas. The topics of interest are as follows but are not limited to: ? Database theory ? Data management ? Data mining and warehousing ? Data privacy & security ? Information retrieval, integration and visualization ? Information system ? Knowledge discovery in databases ? Mobile, grid and cloud computing ? Knowledge-based ? Knowledge management ? Web data, services and intelligence. 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v285 606 $aComputational intelligence 606 $aData mining 606 $aDatabase management 606 $aComputational Intelligence 606 $aData Mining and Knowledge Discovery 606 $aDatabase Management 615 0$aComputational intelligence. 615 0$aData mining. 615 0$aDatabase management. 615 14$aComputational Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aDatabase Management. 676 $a004 702 $aHerawan$b Tutut 702 $aDeris$b Mustafa Mat 702 $aAbawajy$b Jemal H.$f1982- 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910299712403321 996 $aProceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013)$92075396 997 $aUNINA