000913147 000__ 03299cam\a2200553Ii\4500 000913147 001__ 913147 000913147 005__ 20230306150412.0 000913147 006__ m\\\\\o\\d\\\\\\\\ 000913147 007__ cr\cn\nnnunnun 000913147 008__ 190810s2019\\\\sz\\\\\\o\\\\\101\0\eng\d 000913147 019__ $$a1115084563 000913147 020__ $$a9783030266363$$q(electronic book) 000913147 020__ $$a3030266362$$q(electronic book) 000913147 020__ $$z3030266354 000913147 020__ $$z9783030266356 000913147 020__ $$a9783030266370 000913147 020__ $$a3030266370 000913147 0247_ $$a10.1007/978-3-030-26636-3$$2doi 000913147 035__ $$aSP(OCoLC)on1111778329 000913147 035__ $$aSP(OCoLC)1111778329$$z(OCoLC)1115084563 000913147 040__ $$aYDX$$beng$$erda$$cYDX$$dGW5XE$$dYDXIT$$dDKU$$dVT2$$dUPM$$dOCLCF$$dUKMGB 000913147 049__ $$aISEA 000913147 050_4 $$aQA76.9.D3$$bD38 2019 000913147 08204 $$a005.7$$223 000913147 24500 $$aData management technologies and applications :$$b7th International Conference, DATA 2018, Porto, Portugal, July 26-28, 2018, revised selected papers /$$cChristoph Quix, Jorge Bernardino (Eds.). 000913147 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2019] 000913147 300__ $$a1 online resource 000913147 336__ $$atext$$btxt$$2rdacontent 000913147 337__ $$acomputer$$bc$$2rdamedia 000913147 338__ $$aonline resource$$bcr$$2rdacarrier 000913147 347__ $$atext file$$bPDF$$2rda 000913147 4901_ $$aCommunications in computer and information science ;$$v862 000913147 500__ $$aIncludes index. 000913147 5050_ $$aConstructing a Data Visualization Recommender System -- A Comprehensive Prediction Approach for Hardware Asset Management -- Linear vs. Symbolic Regression for Adaptive Parameter Setting in Manufacturing Process -- Graph Pattern Index for Neo4j Graph Databases -- Architectural Considerations for a Data Access Marketplace based Upon API Management -- FPGA vs. SIMD: Comparison for Main Memory-based Fast Column Scan -- Infectious Disease Prediction Modelling using Synthetic Optimization Approaches -- Concept Recognition with Convolutional Neural Networks to Optimize Keyphraze Extraction -- Deep Neural Trading: Comparative Study with Feed Forward, Recurrent and Autoencoder Networks. 000913147 506__ $$aAccess limited to authorized users. 000913147 520__ $$aThis book constitutes the thoroughly refereed proceedings of the 7th International Conference on Data Management Technologies and Applications, DATA 2018, held in Porto, Portugal, in July 2018. The 9 revised full papers were carefully reviewed and selected from 69 submissions. The papers deal with the following topics: databases, big data, data mining, data management, data security, and other aspects of information systems and technology involving advanced applications of data. --$$cProvided by publisher. 000913147 588__ $$aDescription based on online resource; title from digital title page (viewed on August 26, 2019). 000913147 650_0 $$aDatabase management$$vCongresses. 000913147 650_0 $$aBig data$$vCongresses. 000913147 650_0 $$aData mining$$vCongresses. 000913147 650_0 $$aDatabase security$$vCongresses. 000913147 7001_ $$aQuix, Christoph,$$eeditor. 000913147 7001_ $$aBernardino, Jorge,$$eeditor. 000913147 77608 $$iPrint version: $$z3030266354$$z9783030266356$$w(OCoLC)1106175852 000913147 830_0 $$aCommunications in computer and information science ;$$v862. 000913147 852__ $$bebk 000913147 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-26636-3$$zOnline Access$$91397441.1 000913147 909CO $$ooai:library.usi.edu:913147$$pGLOBAL_SET 000913147 980__ $$aEBOOK 000913147 980__ $$aBIB 000913147 982__ $$aEbook 000913147 983__ $$aOnline 000913147 994__ $$a92$$bISE