Document Type

Journal Article

Publisher

Hindawi

School

Computer and Security Science

Comments

This article was originally published as: Xia, J., Xie, F., Zhang, Y., & Caulfield, C. (2013, December). Artificial intelligence and data mining: algorithms and applications. In Abstract and Applied Analysis (Vol. 2013). Hindawi Publishing Corporation. Original article available here

Abstract

Artificial intelligence and data mining techniques have been used in many domains to solve classification, segmentation, association, diagnosis, and prediction problems. The overall aim of this special issue is to open a discussion among researchers actively working on algorithms and applications. The issue covers a wide variety of problems for computational intelligence, machine learning, time series analysis, remote sensing image mining, and pattern recognition. After a rigorous peer review process, 20 papers have been selected from 38 submissions. The accepted papers in this issue addressed the following topics: (i) advanced artificial intelligence and data mining techniques; (ii) computational intelligence in dynamic and uncertain environments; (iii) machine learning on massive datasets; (iv) time series data analysis; (v) Spatial data mining: algorithms and applications.

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Creative Commons Attribution 3.0 License
This work is licensed under a Creative Commons Attribution 3.0 License.

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