Machine Learning and Data Mining

✍ Scribed by Igor Kononenko, Matjaz Kukar

Publisher: Woodhead Publishing
Year: 2007
Tongue: English
Leaves: 475
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. This book has been written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining. Suitable for advanced undergraduates and their tutors at postgraduate level in a wide area of computer science and technology topics as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to the libraries and bookshelves of the many companies who are using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions.

📜 SIMILAR VOLUMES

Data Mining and Machine Learning Applica

📁 Data Mining and Machine Learning Applications

✍ Rohit Raja, Kapil Kumar Nagwanshi, Sandeep Kumar, K. Ramya Laxmi 📂 Library 📅 2022 🏛 Wiley-Scrivener 🌐 English

DATA MINING AND MACHINE LEARNING APPLICATIONSThe book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration.

Data Mining and Machine Learning in Cybe

📁 Data Mining and Machine Learning in Cybersecurity

✍ Sumeet Dua, Xian Du 📂 Library 📅 2011 🏛 CRC Press 🌐 English

Data Mining and Machine Learning in Cybe

📁 Data Mining and Machine Learning in Cybersecurity

✍ Sumeet Dua, Xian Du 📂 Library 📅 2011 🏛 CRC Press 🌐 English

With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops, and journals focus on the fragmented research topics in this area, there has been no single interdisciplinar

Encyclopedia of machine learning and dat

📁 Encyclopedia of machine learning and data mining

✍ Sammut, Claude;Webb, Geoffrey I 📂 Library 📅 2017 🏛 Springer 🌐 English

Intro; Preface; Contributors; A; A/B Testing; Abduction; Definition; Motivation and Background; Structure of the Learning Task; Abduction in Artificial Intelligence; Abductive Concept Learning; Abduction and Induction; Abduction in Systems Biology; Cross-References; Recommended Reading; Absolute Err

Encyclopedia of Machine Learning and Dat

📁 Encyclopedia of Machine Learning and Data Mining

✍ Claude Sammut, Geoffrey I. Webb (eds.) 📂 Library 📅 2017 🏛 Springer 🌐 English

Encyclopedia of Machine Learning and Dat

📁 Encyclopedia of Machine Learning and Data Mining

✍ Claude Sammut, Geoffrey I. Webb 📂 Library 📅 2017 🏛 Springer 🌐 English