Abstract and Applied Analysis

Artificial Intelligence and Data Mining 2014


Status
Published

Lead Editor

1Liaoning Normal University, Dalian, China

2School of Information Science and Technology, Jinan University, Guangzhou, China

3School of Mathematics 8 Statistics, Lanzhou University, Lanzhou, China

4Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW, Australia

5School of Information Science 8 Engineering, Lanzhou University, Lanzhou, China


Artificial Intelligence and Data Mining 2014

Description

Growing attention is being paid to the fields of artificial intelligence (AI) and data mining as tablets and mobile application, and social media dominate the technology landscape. AI and data mining technologies can help design intelligent computer systems that exhibit characteristics typically associated with human intelligence. These technologies highlight many challenges in the areas of computational intelligence, affective computing, machine learning, and pattern recognition, for example. What is also needed are novel, fast, and effective algorithms for dealing with large-scale datasets in dynamic and uncertain environments—a largely an unexplored field.

We invite authors to submit original research as well as review articles that will stimulate continuing efforts to understand the theories and algorithms of artificial intelligence and data mining, and how these algorithms and theories have been applied to solve real-world problems in various fields. Potential topics include, but are not limited to:

  • Advanced artificial intelligence and data mining techniques
  • High- performance data mining on the cloud platform
  • Computational intelligence in dynamic and uncertain environments
  • Machine learning on massive datasets
  • Genetic algorithm and evolutionary computation
  • Sentimental analysis and opinion mining
  • Statistical methods for data mining
  • Time series data analysis
  • Pattern recognition
  • Applications to social network, biology informatics, personalized learning, virtual reality, and forecasting
  • Mining of remote sensing image archives: algorithms and applications

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/aaa/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/aaa/aidm14/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 819641
  • - Editorial

Artificial Intelligence and Data Mining 2014

Fuding Xie | Suohai Fan | ... | Caihong Li
  • Special Issue
  • - Volume 2014
  • - Article ID 941648
  • - Research Article

Wind Power Assessment Based on a WRF Wind Simulation with Developed Power Curve Modeling Methods

Zhenhai Guo | Xia Xiao
  • Special Issue
  • - Volume 2014
  • - Article ID 971648
  • - Research Article

Identifying the Best Coach by an Improved AHP Model

Jinming Xing | Chang Zhao | ... | Nan Xiang
  • Special Issue
  • - Volume 2014
  • - Article ID 178313
  • - Research Article

Radial Basis Function Neural Network Based on an Improved Exponential Decreasing Inertia Weight-Particle Swarm Optimization Algorithm for AQI Prediction

Jinna Lu | Hongping Hu | Yanping Bai
  • Special Issue
  • - Volume 2014
  • - Article ID 785072
  • - Research Article

Target Image Matching Algorithm Based on Binocular CCD Ranging

Dongming Li | Wei Su | ... | Lijuan Zhang
  • Special Issue
  • - Volume 2014
  • - Article ID 402567
  • - Research Article

Identification of Protein Coding Regions in the Eukaryotic DNA Sequences Based on Marple Algorithm and Wavelet Packets Transform

Guangchen Liu | Yihui Luan
  • Special Issue
  • - Volume 2014
  • - Article ID 249208
  • - Research Article

A Hybrid Forecasting Model Based on Bivariate Division and a Backpropagation Artificial Neural Network Optimized by Chaos Particle Swarm Optimization for Day-Ahead Electricity Price

Zhilong Wang | Feng Liu | ... | Jianzhou Wang
  • Special Issue
  • - Volume 2014
  • - Article ID 391719
  • - Research Article

Moment Conditions Selection Based on Adaptive Penalized Empirical Likelihood

Yunquan Song
  • Special Issue
  • - Volume 2014
  • - Article ID 781607
  • - Research Article

Research on Adaptive Optics Image Restoration Algorithm by Improved Expectation Maximization Method

Lijuan Zhang | Dongming Li | ... | Yutong Jiang
  • Special Issue
  • - Volume 2014
  • - Article ID 416591
  • - Research Article

Cost-Sensitive Support Vector Machine Using Randomized Dual Coordinate Descent Method for Big Class-Imbalanced Data Classification

Mingzhu Tang | Chunhua Yang | ... | Qiyue Xie
Abstract and Applied Analysis
 Journal metrics
Acceptance rate14%
Submission to final decision40 days
Acceptance to publication54 days
CiteScore1.300
Impact Factor-
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