Applications of artificial intelligence in finance and economics (Record no. 545)
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| fixed length control field | 05043nam a2200469Ka 4500 |
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| control field | bslw06311239 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | UtOrBLW |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20161010130641.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION | |
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| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr un||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 101115s2004 enk o 100 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781849503037 (electronic bk.) : |
| Terms of availability | £70.95 ; €99.95 ; $117.95 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | UtOrBLW |
| Transcribing agency | UtOrBLW |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | HB139 |
| Item number | .A67 2004 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | KC |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | BUS021000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | BUS044000 |
| Source | bisacsh |
| 080 ## - UNIVERSAL DECIMAL CLASSIFICATION NUMBER | |
| Universal Decimal Classification number | 330.43 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 330.015195 |
| Edition number | 22 |
| 245 00 - TITLE STATEMENT | |
| Title | Applications of artificial intelligence in finance and economics |
| Medium | [electronic resource] / |
| Statement of responsibility, etc | edited by Jane M. Binner, Graham Kendall, and Shu-Heng Chen. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Bingley, U.K. : |
| Name of publisher, distributor, etc | Emerald, |
| Date of publication, distribution, etc | 2004. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (xiii, 275 p.). |
| 490 1# - SERIES STATEMENT | |
| Series statement | Advances in econometrics, |
| International Standard Serial Number | 0731-9053 ; |
| Volume number/sequential designation | v. 19 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Statistical analysis of genetic algorithms in discovering technical trading strategies / Chueh-Yung Tsao, Shu-Heng Chen -- Co-evolving neural networks with evolutionary strategies : a new application to divisia money / Jane M. Binner, Graham Kendall, Alicia Gazely -- Forecasting the EMU inflation rate : linear econometric vs. non-linear computational models using genetic neural fuzzy systems / Stefan Kooths, Timo Mitze, Eric Ringhut -- Finding or not finding rules in time series / Jessica Lin, Eamonn Keogh -- A comparison of var and neural networks with genetic algorithm in forecasting price of oil / Sam Mirmirani, Hsi Cheng Li -- Searching for divisia/inflation relationships with the aggregate feedforward neural network / Vincent A. Schmidt, Jane M. Binner -- Predicting housing value : genetic algorithm attribute selection and dependence modelling utilising the gamma test / Ian D. Wilson, Antonia J. Jones, David H. Jenkins, J.A. Ware -- A genetic programming approach to model international short-term capital flow / Tina Yu, Shu-Heng Chen, Tzu-Wen Kuo -- Tools for non-linear time series forecasting in economics : an empirical comparison of regime switching vector autoregressive models and recurrent neural networks / Jane M. Binner, Thomas Elger, Birger Nilsson, Jonathan A. Tepper -- Using non-parametric search algorithms to forecast daily excess stock returns / Nathan Lael Joseph, David S. Bre, Efstathios Kalyvas. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Artificial intelligence is a consortium of data-driven methodologies which includes artificial neural networks, genetic algorithms, fuzzy logic, probabilistic belief networks and machine learning as its components. We have witnessed a phenomenal impact of this data-driven consortium of methodologies in many areas of studies, the economic and financial fields being of no exception. In particular, this volume of collected works will give examples of its impact on the field of economics and finance. This volume is the result of the selection of high-quality papers presented at a special session entitled 'Applications of Artificial Intelligence in Economics and Finance' at the '2003 International Conference on Artificial Intelligence' (IC-AI '03) held at the Monte Carlo Resort, Las Vegas, Nevada, USA, June 23-26 2003. The special session, organised by Jane Binner, Graham Kendall and Shu-Heng Chen, was presented in order to draw attention to the tremendous diversity and richness of the applications of artificial intelligence to problems in Economics and Finance. This volume should appeal to economists interested in adopting an interdisciplinary approach to the study of economic problems, computer scientists who are looking for potential applications of artificial intelligence and practitioners who are looking for new perspectives on how to build models for everyday operations. There are still many important Artificial Intelligence disciplines yet to be covered. Among them are the methodologies of independent component analysis, reinforcement learning, inductive logical programming, classifier systems and Bayesian networks, not to mention many ongoing and highly fascinating hybrid systems. A way to make up for their omission is to visit this subject again later. We certainly hope that we can do so in the near future with another volume of Applications of Artificial Intelligence in Economics and Finance. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Business & Economics |
| General subdivision | Econometrics. |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Business & Economics |
| General subdivision | Economics |
| -- | Microeconomics. |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Economics. |
| Source of heading or term | bicssc |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial intelligence. |
| Source of heading or term | bicssc |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Econometrics |
| Form subdivision | Congresses. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Economics |
| General subdivision | Data processing |
| Form subdivision | Congresses. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Finance |
| General subdivision | Data processing |
| Form subdivision | Congresses. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Binner, Jane M., |
| Dates associated with a name | 1961- |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kendall, Graham, |
| Dates associated with a name | 1961- |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chen, Shu-Heng, |
| Dates associated with a name | 1959- |
| 711 2# - ADDED ENTRY--MEETING NAME | |
| Meeting name or jurisdiction name as entry element | International Conference on Artificial Intelligence |
| Date of meeting | (2003 : |
| Location of meeting | Las Vegas, Nev.) |
| 776 1# - ADDITIONAL PHYSICAL FORM ENTRY | |
| International Standard Book Number | 9780762311507 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Advances in econometrics ; |
| Volume number/sequential designation | v. 19. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://www.emeraldinsight.com/0731-9053/19 |
| 913 ## - | |
| -- | BMEbacklist |
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