Skip to main content
SpringerLink
Log in

Opportunities and Challenges for Next-Generation Applied Intelligence

  • Book
  • © 2009

Overview

Editors:
  1. Been-Chian Chien

    1. Department of Computer Science and Information on Engineering, National University of Tainan, Tainan City, Taiwan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Tzung-Pei Hong

    1. Department of Computer Science and Information Engineering, National University of Kaohsiung, Nanzih District, Kaohsiung, Taiwan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Compilation of Opportunities and Challenges for Next-generation Applied Intelligence

Part of the book series: Studies in Computational Intelligence (SCI, volume 214)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (52 chapters)

  1. Front Matter

    Download chapter PDF

  2. Bio-informatics

    1. An Intelligent System for Analyzing Gene Networks from Microarray Data

      • Austin H. Chen, Ching-Heng Lin
      Pages 1-6

    2. Predicting Residue-Wise Contact Orders in Proteins by Support Vector Regression with Parametric-Insensitive Model

      • Pei-Yi Hao, Lung-Biao Tsai
      Pages 7-12

    3. SNP-Flankplus: SNP ID-Centric Retrieval of Flanking Sequences

      • Cheng-Hong Yang, Yu-Huei Cheng, Li-Yeh Chuang, Hsueh-Wei Chang
      Pages 13-18

    4. Tumor Classification on Mammographies Based on BPNN and Sobel Filter

      • Enrique Calot, Hernan Merlino, Claudio Rancan, Ramon Garcia-Martinez
      Pages 19-24

  3. Computer Vision

    1. An Adaptive Biometric System Based on Palm Texture Feature and LVQ Neural Network

      • Chen-Sen Ouyang, Ming-Yi Ju, Han-Lin Yang
      Pages 25-30

    2. A Binarization Approach for Wafer ID Based on Asterisk-Shape Filter

      • Hsu Wei-Chih, Yu Tsan-Ying, Chen Kuan-Liang
      Pages 31-37

    3. Feature Particles Tracking for the Moving Object

      • Tao Gao, Zheng-guang Liu, Jun Zhang
      Pages 39-44

    4. Break-Segment Detection and Recognition in Broadcasting Video/Audio Based on C/S Architecture

      • Xiangdong Wang, Xinhui Li, Yuelian Qian, Ying Yang, Shouxun Lin
      Pages 45-51

  4. Data Mining and Knowledge Discovery

    1. A Time Series Case-Based Predicting Model for Reservation Forecasting

      • Tsung-Hsien Tsai, Sheryl E. Kimes
      Pages 53-58

    2. A Filtering Approach for Mining Frequent Itemsets

      • Jen-Peng Huang, Huang-Cheng Kuo
      Pages 59-63

    3. Mining Data Streams with Skewed Distribution by Static Classifier Ensemble

      • Yi Wang, Yang Zhang, Yong Wang
      Pages 65-71

    4. Accumulative Influence Weight Collaborative Filtering Recommendation Approach

      • Nan Li, Chunping Li
      Pages 73-78

    5. RAD: A Radar-Alike Data-Clustering Algorithm for Large Databases

      • Cheng-Fa Tsai, Jiun-Huang Ju
      Pages 79-84

  5. Decision Support Systems

    1. Applying ELECTRE and Maximizing Deviation Method for Stock Portfolio Selection under Fuzzy Environment

      • Chen-Tung Chen, Wei-Zhan Hung
      Pages 85-91

    2. Constraint Programming Approach for a University Timetabling Decision Support System with Hard and Soft Constraints

      • Li-Yen Shue, Pei-Chun Lin, Chia-Yin Tsai
      Pages 93-98

    3. Behavioral Scoring Model for Bank Customers Using Data Envelopment Analysis

      • I-Fei Chen, Chi-Jie Lu, Tian-Shyug Lee, Chung-Ta Lee
      Pages 99-104

    4. Decision Support for Combinatorial Reverse Auction with Multiple Buyers and Sellers

      • Fu-Shiung Hsieh, Cheng Chung Hua
      Pages 105-110

    5. Visualization-Based Approaches to Support Context Sharing towards Public Involvement Support System

      • Shun Shiramatsu, Yuji Kubota, Kazunori Komatani, Tetsuya Ogata, Toru Takahashi, Hiroshi G. Okuno
      Pages 111-117

  6. Genetic Algorithms

    1. A Case Study of Genetic Algorithms for Quay Crane Scheduling

      • Yi Wang, Yun Chen, Kesheng Wang
      Pages 119-125
Back to top

Keywords

About this book

The term “Artificial Intelligence” has been used since 1956 and has become a very popular research field. Generally, it is the study of the computations that enable a system to perceive, reason and act. In the early days, it was expected to achieve the same intelligent behavior as a human, but found impossible at last. Its goal was thus revised to design and use of intelligent methods to make systems more ef- cient at solving problems. The term “Applied Intelligence” was thus created to represent its practicality. It emphasizes applications of applied intelligent systems to solve real-life problems in all areas including engineering, science, industry, automation, robotics, business, finance, medicine, bio-medicine, bio-informatics, cyberspace, and man-machine interactions. To endow the intelligent behavior of a system, many useful and interesting techniques have been developed. Some of them are even borrowed from the na- ral observation and biological phenomenon. Neural networks and evolutionary computation are two examples of them. Besides, some other heuristic approaches like data mining, adaptive control, intelligent manufacturing, autonomous agents, bio-informatics, reasoning, computer vision, decision support systems, expert s- tems, fuzzy logic, robots, intelligent interfaces, internet technology, planning and scheduling, are also commonly used in applied intelligence.

Editors and Affiliations

  • Department of Computer Science and Information on Engineering, National University of Tainan, Tainan City, Taiwan

    Been-Chian Chien

  • Department of Computer Science and Information Engineering, National University of Kaohsiung, Nanzih District, Kaohsiung, Taiwan

    Tzung-Pei Hong

Bibliographic Information

  • Book Title: Opportunities and Challenges for Next-Generation Applied Intelligence

  • Editors: Been-Chian Chien, Tzung-Pei Hong

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-540-92814-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2009

  • Hardcover ISBN: 978-3-540-92813-3Published: 19 May 2009

  • Softcover ISBN: 978-3-642-10088-8Published: 28 October 2010

  • eBook ISBN: 978-3-540-92814-0Published: 12 May 2009

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XII, 344

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence

Publish with us

Policies and ethics

Back to top

Search

Navigation