Titlebook: Business and Consumer Analytics: New Ideas; Pablo Moscato,Natalie Jane de Vries Book 2019 Springer Nature Switzerland AG 2019 Customer ana

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https://doi.org/10.1007/978-3-030-06222-4Customer analytics; Data science; Business analytics; Heuristics; Memetic algorithms; Network analysis; Da

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https://doi.org/10.1007/978-3-662-12453-6asing availability of large volumes of data together with the advances in artificial intelligence, machine learning and optimization techniques. Breakthroughs in statistics, discrete applied mathematics and new algorithms are leading to the development of a new interdisciplinary field: data science.

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https://doi.org/10.1007/978-3-662-12453-6 needed in business and consumer analytics from a marketing perspective and continue “bridging the gap” between data scientists and business thinkers. A brief introduction to the discipline of marketing is presented followed by several topics that are crucial for understanding marketing and computat

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Biokompatible Keramische Werkstoffe has shown high scalability in previous applications, is applied to analyse and segment an online consumer behaviour dataset. It is based on the computation of a Minimum-Spanning-Tree and a .-Nearest Neighbour graph (MST-.NN). Cluster-specific consumer behaviours relating to customer engagement are

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Suk-Woo Ha,Michael Koller,Gerald Göllnerion and overview of basic sequential algorithms, and then discuss and compare different parallel approaches based on shared-memory, message-passing, map-reduce, and the use of GPU accelerators. Even though our survey certainly is not exhaustive, it covers essential reference material, since we belie

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