Titlebook: Data Science in Practice; Alan Said,Vicenç Torra Book 2019 Springer Nature Switzerland AG 2019 Data Science applications.Big Data.Intellig

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R. R. Rajalaxmi,K. Sruthi,S. Santhoshkumarelligence and introduce the four major areas of the field. Then, in subsequent sections we present these areas. They are problem solving and search, knowledge representation and knowledge-based systems, machine learning, and distributed artificial intelligence. The chapter follows with a discussion

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Low-Power NoC Using Optimum Adaptationommender systems. First, a brief overview of the systems is presented followed by details on some of the most commonly applied models used for these systems and how these systems are evaluated. The chapter ends with an overview of some of the application areas in which information retrieval and reco

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Jai Narayan Tripathi,Jayanta Mukherjeeg in a business, and to make recommendations as to what should change or happen next. Most organizations attempt to leverage analytics to drive decision making. However, few of them are able to access the full value of what business intelligence has to offer. In this chapter, we will cover the most

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https://doi.org/10.1007/978-3-662-06373-6provide computational definitions of what privacy means, and of how to evaluate the privacy level of a data set. Then, we give a summary of data protection mechanisms. We provide a classification of these methods according to three dimensions: whose privacy is being sought, the computations to be do

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Advanced Information Processingistics, machine learning, etc. to turn vast amounts of data into new insights and knowledge. However, the sole use of automatic data science techniques for large amounts of complex data limits the human user’s possibilities in the discovery process, since the user is estranged from the process of da

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Information Fusionor heterogeneous sources into a representation that supports a human user’s situation awareness for the purposes of decision making. Information fusion is not an end in itself but studies, adapts, applies and combines methods, techniques and algorithms provided by many other research areas, such as