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Introduction

Chapter
Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Abstract

Data mining (or machine learning) techniques have attracted considerable attention from both academia and industry, due to their significant contributions to intelligent data analysis. The importance of data mining and its applications is likely to increase even further in the future, given that organisations keep collecting increasingly larger amounts of data and more diverse types of data. Due to the rapid growth of data from real world applications, it is timely to adopt Knowledge Discovery in Databases (KDD) methods to extract knowledge or valuable information from data. Indeed, KDD has already been successfully adopted in real world applications, both in science and in business.

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity College LondonLondonUK

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