Titlebook: Big Data Analytics: Systems, Algorithms, Applications; C.S.R. Prabhu,Aneesh Sreevallabh Chivukula,L.M. Je Textbook 2019 Springer Nature Si

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Emerging Research Trends and New Horizons,nce on Data Mining (SDM), IEEE International Conference on Data Engineering (ICDE) and ACM International Conference on Information and Knowledge Management (CIKM). In this chapter, we shall survey the research trends and the possible new horizons coming up in Big Data Analytics.

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Textbook 2019singly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial S

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https://doi.org/10.1007/978-1-4612-1021-4othesis on the data. Typically, a hypothesis is chosen from a set of candidate patterns assumed in the data. A pattern is taken to be the algorithmic output obtained from transforming the raw input. Thus, machine learning paradigms try to build general patterns from known data to make predictions on unknown data.

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On Series Which Arise From Products, with machine learning and data mining approaches. Thereby, it allows to study new and old data to make forecasts. Also, providing proactive analytics with predictive modeling helps to convert new and old data into valuable information.

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On Series Which Arise From Products, drawing insights. The Big Data phenomenon has resulted in expanding the range of data types that can be processed, enabling the banks and financial institutions to better digest, assimilate and respond in a better way to their physical and digital interactions with the customers.

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Big Data Analytics for Financial Services and Banking, drawing insights. The Big Data phenomenon has resulted in expanding the range of data types that can be processed, enabling the banks and financial institutions to better digest, assimilate and respond in a better way to their physical and digital interactions with the customers.