solution manual data mining concepts and techniques 3rd edition
the aim of this book is to introduce a reader to the theory of data mining. the book starts by covering all the concepts and terminologies related to data mining and the necessary background about databases. it then introduces the concept of data mining and the data mining process followed by an in-depth discussion on different data mining models and the important concepts of machine learning. the book concludes with a chapter on data mining for business applications, explaining the importance of data mining in business and the challenges that a data miner has to face. this is followed by a chapter on applications of data mining in the context of social networks. as a reader can see, the book is very user friendly, and the examples that are given are very practical and result oriented.
in this book, the authors present a real-world problem in which a user can use recommendation engines to rate a set of products in order to maximize the number of sales. the authors begin by discussing the concept of data mining and the associated terminologies. in the process of defining data mining, the authors define mining as 'the activity of discovering hidden patterns in data that enable the discovery of new knowledge.' the book describes the data mining process for the purposes of solving the problem, followed by a discussion of the various data mining models. the book concludes with a discussion on applications of data mining for business and social networking, including business-to-business recommendations, business-to-customer recommendations, business-to-consumer recommendations, and business-to-business social networking.