LEADER 04532nam 22005895 450 001 9910483802303321 005 20251113190928.0 010 $a981-13-1799-2 024 7 $a10.1007/978-981-13-1799-6 035 $a(CKB)4100000009158644 035 $a(MiAaPQ)EBC5849329 035 $a(DE-He213)978-981-13-1799-6 035 $a(PPN)243764464 035 $a(EXLCZ)994100000009158644 100 $a20190809d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the International Conference on Data Engineering 2015 (DaEng-2015) /$fedited by Jemal H. Abawajy, Mohamed Othman, Rozaida Ghazali, Mustafa Mat Deris, Hairulnizam Mahdin, Tutut Herawan 205 $a1st ed. 2019. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2019. 215 $a1 online resource (624 pages) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v520 311 08$a981-13-1797-6 327 $aPart 1: Database Theory and Applications -- Chapter 1. A New Approach to Secure and Manage Load Balancing of the Distributed Database using SQL Firewall -- Chapter 2. Object-Based Simulators for Large Scale Distributed Virtual Environment -- Chapter 3. 1P1O: A Large Scale Distributed Virtual Environment -- Chapter 4.Optimize Performance Load Balancing Techniques using Binary Vote Assignment Grid Quorum (BVAGQ): A Systematic Review -- Chapter 5.Managing MyGRANTS Fragmented Database Using Binary Vote Assignment Grid Quorum with Association Rule (BVAGQ-AR) Replication Model -- Chapter 6.DGMS: Dataset Generator Based On Malay Stemmer Algorithm -- Chapter 7.A Survey of UML Tools -- Chapter 8.Hybrid Landscape Change Detection Methods in a Noisy Data Environment -- Part 2: Data Warehousing and Mining -- 9.Concept Based Lattice Mining (CBLM) Using Formal Concept Analysis (FCA) for Text Mining -- 10. 2M-SELAR: A Model for Mining Sequential Least Association Rules. 330 $aThese proceedings gather outstanding research papers presented at the Second International Conference on Data Engineering 2015 (DaEng-2015) and offer a consolidated overview of the latest developments in databases, information retrieval, data mining and knowledge management. The conference brought together researchers and practitioners from academia and industry to address key challenges in these fields, discuss advanced data engineering concepts and form new collaborations. The topics covered include but are not limited to: ? Data engineering ? Big data ? Data and knowledge visualization ? Data management ? Data mining and warehousing ? Data privacy & security ? Database theory ? Heterogeneous databases ? Knowledge discovery in databases ? Mobile, grid and cloud computing ? Knowledge management ? Parallel and distributed data ? Temporal data ? Web data, services and information engineering ? Decision support systems ? E-Business engineering and management ? E-commerce and e-learning ? Geographical information systems ? Information management ? Information quality and strategy ? Information retrieval, integration and visualization ? Information security ? Information systems and technologies. 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v520 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 $a006.3 702 $aAbawajy$b Jemal H$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aOthman$b Mohamed$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGhazali$b Rozaida$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDeris$b Mustafa Mat$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMahdin$b Hairulnizam$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHerawan$b Tutut$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910483802303321 996 $aProceedings of the International Conference on Data Engineering 2015 (DaEng-2015)$92845577 997 $aUNINA