Data Mining: Opportunities and Challenges

✍ Scribed by John Wang

Publisher: IGI Global
Year: 2003
Tongue: English
Leaves: 483
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

In this text, an international team of 44 data mining experts specifically explore new methodologies or examine case studies in this new and multi-disciplinary topic.

📜 SIMILAR VOLUMES

Data Mining: Opportunities and Challenge

📁 Data Mining: Opportunities and Challenges

✍ John Wang 📂 Library 📅 2003 🌐 English

Data Mining: Opportunities and Challenges presents an overview of the state of the art approaches in this new and multidisciplinary field of data mining. The primary objective of this book is to explore the myriad issues regarding data mining, specifically focusing on those areas that explore new me

Data Mining and Knowledge Discovery for

📁 Data Mining and Knowledge Discovery for Big Data: Methodologies, Challenge and Opportunities

✍ Lei Zhang, Bing Liu (auth.), Wesley W. Chu (eds.) 📂 Library 📅 2014 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p><p>The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many

Big Data : Opportunities and challenges

📁 Big Data : Opportunities and challenges

✍ The Chartered Institute for IT BCS; Chartered Institute for IT BCS Staff; Keith 📂 Library 📅 2014 🏛 BCS Learning & Development Limited 🌐 English

Despite the current hype around big data, there is no denying that its potential to benefit organisations, businesses and customers is enormous. The articles in this ebook aim to give practical guidance for all those who want to understand big data better and learn how to make the most of it. Topics

Big Data : Opportunities and challenges.

📁 Big Data : Opportunities and challenges.

✍ Farrant, Natasha 📂 Library 📅 2015 🏛 Faber 🌐 English

This ebook aims to give practical guidance for all those who want to understand big data better and learn how to make the most of it. Topics range from big data analysis, mobile big data and managing unstructured data to technologies, governance and intellectual property and security issues surround

Data Science and Data Analytics: Opportu

📁 Data Science and Data Analytics: Opportunities and Challenges

✍ Amit Kumar Tyagi 📂 Library 📅 2021 🏛 Chapman and Hall/CRC 🌐 English

<p>Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured (labelled) and unstructured (unlabelled) data. It is the future of Artificial Intelligence (AI) and the necessity of future to make things e

Data Science and Data Analytics: Opportu

📁 Data Science and Data Analytics: Opportunities and Challenges

✍ Amit Kumar Tyagi (editor) 📂 Library 📅 2021 🏛 Chapman and Hall/CRC 🌐 English

<p>Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured (labeled) and unstructured (unlabeled) data. It is the future of Artificial Intelligence (AI) and a necessity of the future to make things