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Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide About This Book Customize Apache Spark and R to fit your analytical needs in customer research, fraud detection, risk analytics, and recommendation engine development Develop a set of practical Machine Learning applications that can be implemented in real-life projects A comprehensive, project-based guide to improve and refine your predictive models for practical implementation Who This Book Is For If you are a data scientist, a data analyst, or an R and SPSS user with a good understanding of machine learning concepts, algorithms, and techniques, then this is the book for you. Some basic understanding of Spark and its core elements and application is required. What You Will Learn Set up Apache Spark for machine learning and discover its impressive processing power Combine Spark and R to unlock detailed business insights essential for decision making Build machine learning systems with Spark that can detect fraud and analyze financial risks Build predictive models focusing on customer scoring and service ranking Build a recommendation systems using SPSS on Apache Spark Tackle parallel computing and find out how it can support your machine learning projects Turn open data and communication data into actionable insights by making use of various forms of machine learning In Detail There's a reason why Apache Spark has become one of the most popular tools in Machine Learning ? its ability to handle huge datasets at an impressive speed means you can be much more responsive to the data at your disposal. This book shows you Spark at its very best, demonstrating how to connect it with R and unlock maximum value not only from the tool but also from your data. Packed with a range of project "blueprints" that demonstrate some of the most interesting challenges that Spark can help you tackle, you'll find out how to use Spark notebooks and access, clean, and join different datasets before putting your knowledge into practice with some real-world projects, in which you will see how Spark Machine Learning can help you with everything from fraud detection to analyzing customer attrition. You'll also find out how to build a recommendation engine using Spark's parallel computing powers. Style and approach This book offers a step-by-step approach to setting up Apache Spark, and use other analytical tools with it to process Big Data and build machine learning pr...

Machine learning. --- Big data. --- Information retrieval. --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Data sets, Large --- Large data sets --- Data sets --- Learning, Machine --- Artificial intelligence --- Machine theory --- Spark (Electronic resource : Apache Software Foundation) --- Apache Spark (Electronic resource : Apache Software Foundation)

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Radio frequency identification systems. --- Wireless communication systems.

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This book introduces the state-of-the-art algorithms for data and computation privacy. It mainly focuses on searchable symmetric encryption algorithms and privacy preserving multi-party computation algorithms. This book also introduces algorithms for breaking privacy, and gives intuition on how to design algorithm to counter privacy attacks. Some well-designed differential privacy algorithms are also included in this book. Driven by lower cost, higher reliability, better performance, and faster deployment, data and computing services are increasingly outsourced to clouds. In this computing paradigm, one often has to store privacy sensitive data at parties, that cannot fully trust and perform privacy sensitive computation with parties that again cannot fully trust. For both scenarios, preserving data privacy and computation privacy is extremely important. After the Facebook-Cambridge Analytical data scandal and the implementation of the General Data Protection Regulation by European Union, users are becoming more privacy aware and more concerned with their privacy in this digital world. This book targets database engineers, cloud computing engineers and researchers working in this field. Advanced-level students studying computer science and electrical engineering will also find this book useful as a reference or secondary text.

Information retrieval --- Human rights --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- veiligheid (technologie) --- privacy --- informatiesystemen --- netwerken (informatica) --- computerbeveiliging --- computernetwerken --- mobiele communicatie

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This two volume set LNCS 10039 and 10040 constitutes the refereed post-conference proceedings of the Second International Conference on Cloud Computing and Security, ICCCS 2016, held in Nanjing, China, during July 29-31, 2016. The 97 papers of these volumes were carefully reviewed and selected from 272 submissions. The papers are organized in topical sections such as: Information Hiding, Cloud Computing, Cloud Security, IOT Applications, Multimedia Applications, Multimedia Security and Forensics.

Computer science. --- Computer communication systems. --- Data encryption (Computer science). --- Algorithms. --- Computers and civilization. --- Computer Science. --- Information Systems Applications (incl. Internet). --- Computer Communication Networks. --- Algorithm Analysis and Problem Complexity. --- Data Encryption. --- Computers and Society. --- Civilization and computers --- Algorism --- Data encoding (Computer science) --- Encryption of data (Computer science) --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Informatics --- Civilization --- Algebra --- Arithmetic --- Computer security --- Cryptography --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Science --- Foundations --- Distributed processing --- Computer software. --- Cryptology. --- Software, Computer --- Computer systems --- Cloud computing --- Web services --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software

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This two volume set LNCS 10039 and LNCS 10040 constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Cloud Computing and Security, ICCCS 2016, held in Nanjing, China, during July 29-31, 2016. The 97 papers of these volumes were carefully reviewed and selected from 272 submissions. The papers are organized in topical sections such as: Information Hiding, Cloud Computing, Cloud Security, IOT Applications, Multimedia Applications, Multimedia Security and Forensics.

Computer science. --- Computer communication systems. --- Data encryption (Computer science). --- Algorithms. --- Computers and civilization. --- Management information systems. --- Computer Science. --- Information Systems Applications (incl. Internet). --- Computer Communication Networks. --- Algorithm Analysis and Problem Complexity. --- Management of Computing and Information Systems. --- Data Encryption. --- Computers and Society. --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Civilization and computers --- Algorism --- Data encoding (Computer science) --- Encryption of data (Computer science) --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Informatics --- Sociotechnical systems --- Information resources management --- Management --- Civilization --- Algebra --- Arithmetic --- Computer security --- Cryptography --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Science --- Communication systems --- Foundations --- Distributed processing --- Computer software. --- Information Systems. --- Cryptology. --- Software, Computer --- Computer systems --- Cloud computing --- Computer networks. --- Security measures --- Web services --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software