Titlebook: Big Data Analysis: New Algorithms for a New Society; Nathalie Japkowicz,Jerzy Stefanowski Book 2016 Springer International Publishing Swit

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Implementing Big Data Analytics Projects in Business,derstand the value offered by Big Data and the processes needed to extract it. This chapter discusses why companies should progressively increase their data volumes and the process to follow for implementing a Big Data project. We present a variety of architectures, from in-memory servers to ., to h

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Data Mining in Finance: Current Advances and Future Challenges,ing to rely on guesswork and incorrect extrapolations. Data mining algorithms equip institutions to predict the movements of financial indicators, enable companies to move towards more energy-efficient buildings, as well as allow businesses to conduct targeted marketing campaigns and forecast sales.

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Industrial-Scale Ad Hoc Risk Analytics Using MapReduce,ensure capital adequacy and for fine-grained financial planning, these companies carry out large-scale Monte Carlo simulations to estimate the probabilities that the losses incurred due to catastrophic events such as hurricanes, earthquakes, etc. exceed certain critical values. This is a computation

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Social Network Analysis in Streaming Call Graphs,ction of social interactions between individuals, representing social structures. Call graphs can be deduced from these CDRs, where nodes represent subscribers and edges represent the phone calls made. These graphs may easily reach millions of nodes and billions of edges. Besides being large-scale a

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Scalable Cloud-Based Data Analysis Software Systems for Big Data from Next Generation Sequencing,ds of machines worldwide produce daily billions of sequenced nucleotide base pairs of data. Due to continuous development of faster and economical sequencing technologies, processing the large amounts of data produced by high throughput sequencing technologies became the main challenge in bioinforma

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Discovering Networks of Interdependent Features in High-Dimensional Problems, various forms of sequencing has created both challenges in analyzing these data as well as new opportunities. A promising, yet underdeveloped approach to Big Data, not limited to Life Sciences, is the use of feature selection and classification to discover interdependent features. Traditionally, cl

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