Computational Intelligence in Data Mining - Volume 1: Proceedings of the International Conference on CIDM, 20-21 December 2014 (Smart Innovation, Systems and Technologies)
- 出版商: Springer
- 出版日期: 2016-09-27
- 售價: $7,800
- 貴賓價: 9.5 折 $7,410
- 語言: 英文
- 頁數: 713
- 裝訂: Paperback
- ISBN: 8132229894
- ISBN-13: 9788132229896
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相關分類:
Data-mining
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相關主題
商品描述
The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations’ databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.
商品描述(中文翻譯)
本書旨在闡明並解決計算機科學兩個核心學科之間無縫整合的困難與挑戰,即計算智能和資料探勘。資料探勘旨在通過應用智能分析技術,自動發現數據集中的潛在非平凡知識。由於兩個關鍵因素,這一研究領域在近年來經歷了顯著增長:(a) 隱藏在組織數據庫中的知識可以被利用來改善戰略和管理決策;(b) 組織所管理的大量數據使得進行手動分析變得不可能。本書探討了不同的整合方法和技術,以增強資料探勘的整體目標。本書有助於傳播有關資料探勘、機器和計算智能領域中一些創新、活躍的研究方向的知識,以及相關主題的一些當前問題和應用。