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[null,"1.","Record Nr.",null,"UNISANNIOMIL0260233"]
[null,null,"Autore",null,"O'Hagan, Anthony"]
[null,null,"Titolo",null,"2B: Bayesian inference / Anthony O'Hagan"]
[null,null,"Pubbl/distr/stampa",null,"London, : Edward Arnold"]
[{"$nulls":4},"New York, : Halsted press, 1994"]
[null,null,"ISBN",null,"0340529229"]
[null,null,"Descrizione fisica",null,"XII, 330 p. ; 25 cm."]
[null,null,"Soggetti",null,"Inferenza statistica"]
[null,null,"Collocazione",null,"M/S       (AR) 29                 05201M/S       (AR) 19                 133"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910299712403321"]
[null,null,"Titolo",null,"Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013) / / edited by Tutut Herawan, Mustafa Mat Deris, Jemal Abawajy"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2014"]
[null,null,"ISBN",null,"9789814585187"]
[{"$nulls":4},"9814585181"]
[null,null,"Edizione",null,"[1st ed. 2014.]"]
[null,null,"Descrizione fisica",null,"1 online resource (xxi, 730 pages) : illustrations (some color)"]
[null,null,"Collana",null,"Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 285"]
[null,null,"Disciplina",null,"004"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Database management"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Database Management"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"ISSN: 1876-1100.\""]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters."]
[null,null,"Nota di contenuto",null,"\"\"Preface\"\"; \"\"Acknowledgments\"\"; \"\"Conference organisation\"\"; \"\"Steering Committee\"\"; \"\"Chair\"\"; \"\"Publication Chair\"\"; \"\"Program Committee Chair\"\"; \"\"Organizing Chair\"\"; \"\"Student Committee\"\"; \"\"Program Committee\"\"; \"\"Workshop on Recent Advances in Information Systems\"\"; \"\"Workshop on Mining Educational Data for Effective Educational  Resources\"\"; \"\"Contents\"\"; \"\"Part I:  Database Theory\"\"; \"\"A Log File Analysis Technique using Binary-BasedApproach\"\"; \"\"1 Introduction\"\"; \"\"2 Literature Review\"\"; \"\"3 Proposed Binary-Based Log File Analysis Technique\"\"; \"\"4 Experimental Results\"\""]
[{"$nulls":4},"\"\"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\"\""]
[{"$nulls":4},"\"\"4.2 System Flow\"\"\"\"4.3 Normalization Algorithms\"\"; \"\"4.4 User "]
[{"$nulls":4},"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\"\""]
[{"$nulls":4},"\"\"3.1 Uniform Random Sampling\"\"\"\"3.2 Reservoir Sampling\"\"; \"\"3.3 Chain Sampling\"\"; \"\"4 Experimentation\"\"; \"\"5 Conclusion\"\"; \"\"References\"\"; \"\"Shared-Table for Textual Data Clustering in DistributedRelational Databases\"\"; \"\"1 Introduction\"\"; \"\"2 Related Studies\"\"; \"\"3 Distributed Database Architecture\"\"; \"\"4 Shared-Table\"\"; \"\"5 Conclusion\"\"; \"\"References\"\"; \"\"Part IIData Warehousing and Mining\"\"; \"\"A Graph-based Reliable User Classification\"\"; \"\"1 Introduction\"\"; \"\"2 User Classification\"\"; \"\"3 A graph-based reliable user extraction method\"\"; \"\"3.1 Extracting socially well-known users\"\""]
[{"$nulls":4},"\"\"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\"\""]
[{"$nulls":4},"\"\"1 Introduction\"\""]
[null,null,null,"Sommario/riassunto","The 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."]