Intelligent data engineering and automated learning -- IDEAL 2002. Third international conference, Manchester, UK, August 12--14, 2002. Proceedings (Q1861194)
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scientific article; zbMATH DE number 1882123
| Language | Label | Description | Also known as |
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| English | Intelligent data engineering and automated learning -- IDEAL 2002. Third international conference, Manchester, UK, August 12--14, 2002. Proceedings |
scientific article; zbMATH DE number 1882123 |
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Intelligent data engineering and automated learning -- IDEAL 2002. Third international conference, Manchester, UK, August 12--14, 2002. Proceedings (English)
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14 March 2003
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The articles of this volume will be reviewed individually. Indexed articles: \textit{Capelle, Matthieu; Masson, Cyrille; Boulicaut, Jean-François}, Mining frequent sequential patterns under a similarity constraint, 1-6 [Zbl 1020.68569] \textit{Bramer, Max}, Pre-pruning classification trees to reduce overfitting in noisy domains, 7-12 [Zbl 1020.68556] \textit{Smith, James F. III}, Data mining for fuzzy decision tree structure with a genetic program, 13-18 [Zbl 1020.68896] \textit{Smith, James F. III}, Co-evolutionary data mining to discover rules for fuzzy resource management, 19-24 [Zbl 1020.68895] \textit{Karimi, Kamran; Hamilton, Howard J.}, Discovering temporal rules from temporally ordered data, 25-30 [Zbl 1020.68706] \textit{Hiltunen, Yrjö; Lappalainen, Mika}, Automated personalisation of internet users using self-organising maps, 31-34 [Zbl 1020.68668] \textit{Narita, Masaaki; Haraguchi, Makoto; Okubo, Yoshiaki}, Data abstractions for numerical attributes in data mining, 35-42 [Zbl 1020.68826] \textit{Bhutta, Kashif}, Calculating aggregates with range-encoded bit-sliced index, 43-49 [Zbl 1020.68548] \textit{Tjortjis, Christos; Keane, John}, T3: A classification algorithm for data mining, 50-55 [Zbl 1020.68916] \textit{Hayashi, Tomofumi; Sato, Akio; Berthouze, Nadia}, A hierarchical model to support Kansei mining process, 56-61 [Zbl 1020.68659] \textit{Salim, Majid; Yao, Xin}, Evolving SQL queries for data mining, 62-67 [Zbl 1020.68875] \textit{Jin, Xiaoming; Wang, Likun; Lu, Yuchang; Shi, Chunyi}, Indexing and mining of the local patterns in sequence database, 68-73 [Zbl 1020.68695] \textit{Sornkaew, Thanakorn; Yamashita, Yasuo}, A knowledge discovery by fuzzy rule based Hopfield network, 74-79 [Zbl 1020.68900] \textit{Rossiter, Jonathan}, Fusing partially inconsistent expert and learnt knowledge in uncertain hierarchies, 80-86 [Zbl 1020.68866] \textit{Moreale, Emanuela; Watt, Stuart}, Organisational information management and knowledge discovery in email within mailing lists, 87-92 [Zbl 1020.68821] \textit{Klene, G.; Grauel, A.; Convey, H. J.; Hartley, A. J.}, Design of multi-drilling gear machines by knowledge processing and machine simulation, 93-98 [Zbl 1020.68726] \textit{Zhdanova, Anna V.; Shishkin, Denis V.}, Classification of email queries by topic: Approach based on hierarchically structured subject domain, 99-104 [Zbl 1020.68967] \textit{Yang, Jaeyoung; Oh, Heekuck; Doh, Kyung-Goo; Choi, Joongmin}, A knowledge-based information extraction system for semi-structured labeled documents, 105-110 [Zbl 1020.68957] \textit{Li, Yuhua; Bandar, Zuhair; Mclean, David}, Measuring semantic similarity between words using lexical knowledge and neural networks, 111-116 [Zbl 1020.68768] \textit{Carchiolo, Vincenza; Longheu, Alessandro; Malgeri, Michele}, Extraction of hidden semantics from web pages, 117-122 [Zbl 1020.68570] \textit{Freeman, Richard; Yin, Hujun}, Self-organising maps for hierarchical tree view document clustering using contextual information, 123-128 [Zbl 1020.68634] \textit{He, Jianwen}, Schema discovery of the semi-structured and hierarchical data, 129-134 [Zbl 1020.68661] \textit{Marir, Farhi; Houam, Kamel}, RSTIndex: Indexing and retrieving web document using computational and linguistic techniques, 135-140 [Zbl 1020.68794] \textit{Umehara, Masayuki; Iwanuma, Koji; Nabeshima, Hidetomo}, A case-based recognition of semantic structures in HTML documents, 141-147 [Zbl 1020.68925] \textit{Yeow, Kelvin; Horspool, R. Nigel; Levy, Michael R.}, Expeditious XML processing, 148-153 [Zbl 1020.68959] \textit{Russell, Ben; Yin, Hujun; Allinson, Nigel M.}, Document clustering using the \(1 + 1\) dimensional self-organising map, 154-160 [Zbl 1020.68870] \textit{Kim, Sanghee; Hall, Wendy; Keane, Andy}, Natural language processing for expertise modelling in e-mail communication, 161-166 [Zbl 1020.68722] \textit{Han, Jun; McMahon, Graham; Sugden, Stephen}, A branch and bound algorithm for minimum cost network flow problem, 167-172 [Zbl 1020.68655] \textit{Durand, Nicolas; Lancieri, Luigi}, Study of the regularity of the users' internet accesses, 173-178 [Zbl 1020.68617] \textit{Jang, Sera; Lee, Eunseok}, An intelligent mobile commerce system with dynamic contents builder and mobile products browser, 179-185 [Zbl 1020.68690] \textit{Könönen, Ville}, Focused crawling using fictitious play, 186-192 [Zbl 1020.68733] \textit{Lee, Eunseok; Jang, Sera}, A user adaptive mobile commerce system with a middlet application, 193-199 [Zbl 1020.68757] \textit{Prasad, Bhanu}, Weight-vector based approach for product recommendation in e-commerce, 200-205 [Zbl 1020.68850] \textit{Huang, Shi-Ming; Su, Chun-Hao}, The development of an XML-based data warehouse system, 206-212 [Zbl 1020.68676] \textit{Koncilia, Christian; Pozewaunig, Heinz}, Identifying data sources for data warehouses, 213-218 [Zbl 1020.68736] \textit{Lynden, Steven; Rana, Omer F.}, Coordinating learning agents via utility assignment, 219-224 [Zbl 1020.68784] \textit{Dessí, Nicoletta}, AGILE: An agent-assisted infrastructure to support learning environments, 225-230 [Zbl 1020.68608] \textit{Smith, James F. III}, Multi-agent fuzzy logic resource manager, 231-236 [Zbl 1020.68897] \textit{Ye, Xinfeng; Keane, John; Zhang, Guoqing}, Transactional multiple agents, 237-242 [Zbl 1020.68958] \textit{Kasiran, Mohd Khairudin; Meziane, Farid}, An information model for a merchant trust agent in electronic commerce, 243-248 [Zbl 1020.68707] \textit{Trajkovski, Goran}, MASIVE: A case study in multiagent systems, 249-254 [Zbl 1020.68919] \textit{Wright, W. Andy}, Learning multi-agent strategies in multi-stage collaborative games, 255-260 [Zbl 1020.68949] \textit{Li, Ling; Martinoli, Alcherio; Abu-Mostafa, Yaser S.}, Emergent specialization in swarm systems, 261-266 [Zbl 1020.68767] \textit{Feng, J. Q.; Buse, D. P.; Wu, Q. H.; Fitch, J.}, Distributed mobile communication base station diagnosis and monitoring using multi-agents, 267-272 [Zbl 1020.68624] \textit{Perrone, Alessandro; Ferraris, Gianluigi}, ABBA -- agent based beaver application -- busy beaver in swarm, 273-278 [Zbl 1020.68841] \textit{Gabbai, J. M. E.; Wright, W. A.; Allinson, N. M.}, Centralised and distributed organisational control, 279-284 [Zbl 1020.68638] \textit{Xu, Lei}, Mining dependence structures from statistical learning perspective, 285-306 [Zbl 1020.68951] \textit{Cheung, Yiu-ming}, \(k^{\ast}\)-means -- a generalized \(k\)-means clustering algorithm with unknown cluster number, 307-317 [Zbl 1020.68587] \textit{Jin, Xiaolong; Liu, Jiming}, Multiagent SAT (MASSAT): Autonomous pattern search in constrained domains, 318-328 [Zbl 1020.68694] \textit{Zhong, Ning; Matsunaga, Takahisa; Liu, Chunnian}, A text mining agents based architecture for personal e-mail filtering and management, 329-336 [Zbl 1020.68970] \textit{Zhong, Ning; Matsui, Yasuaki; Okuno, Tomohiro; Liu, Chunnian}, Framework of a multi-agent KDD system, 337-346 [Zbl 1020.68969] \textit{Dempster, M. A. H.; Romahi, Y. S.}, Intraday FX trading: An evolutionary reinforcement learning approach, 347-358 [Zbl 1020.68607] \textit{Baek, Jinwoo; Cho, Sungzoon}, An up-trend detection using an auto-associative neural network: KOSPI 200 futures, 359-365 [Zbl 1020.68536] \textit{Chiu, Kai Chun; Xu, Lei}, Stock price and index forecasting by arbitrage pricing theory-based Gaussian TFA learning, 366-371 [Zbl 1020.68590] \textit{Liu, Zhiyong; Xu, Lei}, A comparative study on three MAP factor estimate approaches for NFA, 372-377 [Zbl 1020.68774] \textit{Kim, Min-Jung; Kim, Taek-Soo}, A neural classifier with fraud density map for effective credit card fraud detection, 378-383 [Zbl 1020.68720] \textit{Troncoso Lora, Alicia; Riquelme Santos, Jesús; Riquelme Santos, José; Gómez Expósito, Antonio; Martínez Ramos, José Luís}, A comparison of two techniques for next-day electricity price forecasting, 384-390 [Zbl 1020.68921] \textit{Yang, Haiqin; Chan, Laiwan; King, Irwin}, Support vector machine regression for volatile stock market prediction, 391-396 [Zbl 1020.68956] \textit{Han, Ying; Fyfe, Colin}, Complexity pursuit for financial prediction, 397-402 [Zbl 1020.68656] \textit{Chan, Man-Chung; Wong, Chi-Cheong; Tse, W. F.; Cheung, Bernard K.-S.; Tang, Gordon Y.-N.}, Artificial intelligence in portfolio management, 403-409 [Zbl 1020.68579] \textit{Magdon-Ismail, Malik; Chen, Hung-Ching; Abu-Mostafa, Yaser S.}, The multilevel classification problem and a monotonicity hint, 410-415 [Zbl 1020.68788] \textit{Lynch, Paul E.; Allinson, Nigel M.}, Adaptive filtering for GARCH models, 416-422 [Zbl 1020.68783] \textit{Pulkkinen, Juhani; Lappalainen, Mika; Häkkinen, Anna-Maija; Lundbom, Nina; Kauppinen, Risto A.; Hiltunen, Yrjö}, Application of self-organising maps in automated chemical shift correction of in vivo \({}^1\)H MR spectra, 423-428 [Zbl 1020.68852] \textit{Spasić, Irena; Nenadić, Goran; Manios, Kostas; Ananiadou, Sophia}, Supervised learning of term similarities, 429-434 [Zbl 1020.68901] \textit{López-Alonso, Victoria; Moreno, Lucia; López-Campos, Guillermo; Maojo, Victor; Martín-Sanchez, Fernando}, BIKMAS: A knowledge engineering system for bioinformatics, 435-440 [Zbl 1020.68778] \textit{Ladroue, C.; Tate, A. R.; Howe, F. A.; Griffiths, J. R.}, Unsupervised feature extraction of in vivo magnetic resonance spectra of brain tumours using independent component analysis, 441-446 [Zbl 1020.68751] \textit{Supekar, K.; Marwadi, A.; Lee, Y.; Medhi, D.}, Fuzzy rule-based framework for medical record validation, 447-453 [Zbl 1020.68908] \textit{Hwang, Grace J.; Tung, Chun-Chan}, Classification learning by decomposition of numerical datasets, 454-460 [Zbl 1020.68681] \textit{Bao, Yongguang; Du, Xiaoyong; Ishii, Naohiro}, Combining feature selection with feature weighting for \(k\)-NN classifier, 461-468 [Zbl 1020.68541] \textit{Shin, Hyunjung; Cho, Sungzoon}, Pattern selection for support vector classifiers, 469-474 [Zbl 1020.68890] \textit{Chang, Yuan-chin Ivan; Hsu, Haoran; Chou, Lin-Yi}, Graphical features selection method, 475-480 [Zbl 1020.68581] \textit{Crockett, Keeley; Bandar, Zuhair; O'Shea, James}, Fuzzy-neural inference in decision trees, 481-486 [Zbl 1020.68599] \textit{Yook, Dongsuk}, Decision tree based clustering, 487-492 [Zbl 1020.68961] \textit{Levashenko, Vitaly G.; Zaitseva, Elena N.}, Usage of new information estimations for induction of fuzzy decision trees, 493-499 [Zbl 1020.68763] \textit{Li, Bin; Zhuang, Zhen-quan}, Genetic algorithm based-on the quantum probability representation, 500-505 [Zbl 1020.68765] \textit{Hwang, Grace J.; Li, Fumin}, A dynamic method for discretization of continuous attributes, 506-511 [Zbl 1020.68680] \textit{Fyfe, Colin; Corchado, Emilio}, A new neural implementation of exploratory projection pursuit, 512-517 [Zbl 1020.68637] \textit{Kabán, Ata; Tiňo, Peter; Girolami, Mark}, A general framework for a principled hierarchical visualization of multivariate data, 518-523 [Zbl 1020.68699] \textit{Singh, Sameer; Amin, Adnan; Sum, K. C.}, Chinese character recognition -- comparison of classification methodologies, 524-530 [Zbl 1020.68893] \textit{Iwata, Kazunori; Ishii, Naohiro}, Lempel-Ziv coding in reinforcement learning, 531-537 [Zbl 1020.68684] \textit{Kim, Jong-Bae; Moon, Chae-Hyun; Kim, Hang-Joon}, Efficient face extraction using skin-color model and a neural network, 538-543 [Zbl 1020.68718] \textit{Ding, Shan; Ishii, Naohiro}, Feature weights determining of pattern classification by using a rough genetic algorithm with fuzzy similarity measure, 544-550 [Zbl 1020.68614] \textit{Dokur, Zümray; Ölmez, Tamer}, Recursive form of the discrete Fourier transform for two-dimensional signals, 551-556 [Zbl 1020.68615] \textit{Lee, Soonkyu; Yook, Dongsuk}, Viseme recognition experiment using context dependent hidden Markov models, 557-561 [Zbl 1020.68759] \textit{Miyao, Hidetoshi}, Stave extraction for printed music scores, 562-568 [Zbl 1020.68814] \textit{Jin, Huidong; Leung, Kwong-Sak; Wong, Man-Leung}, Scaling-up model-based clustering algorithm by working on clustering features, 569-575 [Zbl 1020.68693] \textit{Liu, Yang; Zhang, Huanqiang; Wu, Zhimei}, A new approach to hierarchically retrieve MPEG video, 576-581 [Zbl 1020.68772] \textit{Parkins, Paul; Keane, John A.}, Alpha-beta search revisited, 582-587 [Zbl 1020.68838] \textit{Wang, Wenjia}, Quantifying relevance of input features, 588-593 [Zbl 1020.68937]
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Manchester (GB)
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Data engineering
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Automated learning
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IDEAL 2002
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