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Database Systems for Advanced Applications
These two volumes set LNCS 8421 and LNCS 8422 constitutes the refereed proceedings of the 19th International Conference on Database Systems for Advanced Applications, DASFAA 2014, held in Bali, Indonesia, in April 2014. The 62 revised full papers presented together with 1 extended abstract paper, 4 industrial papers, 6 demo presentations, 3 tutorials and 1 panel paper were carefully reviewed and selected from a total of 257 submissions. The papers cover the following topics: big data management, indexing and query processing, graph data management, spatio-temporal data management, database for emerging hardware, data mining, probabilistic and uncertain data management, web and social data management, security, privacy and trust, keyword search, data stream management and data quality.
Database Systems for Advanced Applications
This book constitutes the workshop proceedings of the 19th International Conference on Database Systems for Advanced Applications, DASFAA 2014, held in Bali, Indonesia, in April 2014. The volume contains papers from 4 workshops, each focusing on hot topics related to database systems and applications: the Second International Workshop on Big Data Management and Analytics, BDMA 2014; the Third International Workshop on Data Management for Emerging Network Infrastructure, DaMEN 2014; the Third International Workshop on Spatial Information Modeling, Management and Mining, SIM3 2014, and the DASFAA Workshop on Uncertain and Crowdsourced Data, UnCrowd 2014.
Database Systems for Advanced Applications
These two volumes set LNCS 8421 and LNCS 8422 constitutes the refereed proceedings of the 19th International Conference on Database Systems for Advanced Applications, DASFAA 2014, held in Bali, Indonesia, in April 2014. The 62 revised full papers presented together with 1 extended abstract paper, 4 industrial papers, 6 demo presentations, 3 tutorials and 1 panel paper were carefully reviewed and selected from a total of 257 submissions. The papers cover the following topics: big data management, indexing and query processing, graph data management, spatio-temporal data management, database for emerging hardware, data mining, probabilistic and uncertain data management, web and social data management, security, privacy and trust, keyword search, data stream management and data quality.
Big Data Analytics
“Big Data Analytics” adalah Buku sangat relevan dan penting dalam era digital ini. Dalam buku ini, Anda akan mendapatkan pemahaman yang komprehensif tentang Big Data Analytics dan aplikasinya dalam berbagai industri. Dari konsep dasar hingga aplikasi teknologi, buku ini memberikan penjelasan yang jelas dan sistematis. Anda akan mempelajari tentang siklus hidup Data Analytics, teknik Data Mining, klasifikasi, prediksi, Cluster Analysis, dan Associations Rules. Selain itu, buku ini juga membahas tentang infrastruktur Big Data, visualisasi Big Data, keamanan dan privasi, serta peluang dan hambatan dalam penggunaan Big Data. Buku ini sangat cocok untuk para profesional dan mahasiswa yang ing...
Fundamental Internet of Things (IoT)
IoT adalah manifestasi berikutnya dari Internet. Tren dimulai dengan menghubungkan komputer ke komputer, berkembang menjadi menghubungkan orang ke orang, dan sekarang bergerak untuk menghubungkan segalanya ke segalanya. Gerakan dimulai seperti perlombaan—dengan banyak kemeriahan, kegembiraan, dan sorakan. Kami sekarang memasuki fase kerja, dan kami harus mencari cara untuk mewujudkan impian itu. IoT akan memiliki banyak perubahan dan melibatkan banyak bidang seiring perkembangannya yaitu teknologi, desain, keamanan, kebijakan hukum, bisnis, kecerdasan buatan, Big Data, dan forensik serta tentang bidang apapun yang ada saat ini. Inilah alasan buku ini hadir. Dalam buku ini disajikan Prinsip...
Natural Language Processing and Text Mining
Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.
Credit Scoring and Its Applications, Second Edition
Credit Scoring and Its Applications?is recognized as the bible of credit scoring. It contains a comprehensive review of the objectives, methods, and practical implementation of credit and behavioral scoring. The authors review principles of the statistical and operations research methods used in building scorecards, as well as the advantages and disadvantages of each approach. The book contains a description of practical problems encountered in building, using, and monitoring scorecards and examines some of the country-specific issues in bankruptcy, equal opportunities, and privacy legislation. It contains a discussion of economic theories of consumers' use of credit, and readers will gain a...
Learning SPARQL
"More and more people are using the query language SPARQL (pronounced 'sparkle') to pull data from a growing collection of public and private data. Whether this data is part of a semantic web project or an integration of two inventory databases on different platforms behind the same firewall, SPARQL is making it easier to access this data using both open source and commercial software. In the words of W3C Director and web inventor Tim Berners-Lee, 'Trying to use the Semantic Web without SPARQL is like trying to use a relational database without SQL. SPARQL lets them query information from databases and other diverse sources in the wild, across the Web.'"--Resource description page.
