icdm 2020 accepted papers
There is no separate abstract submission step. advance thestate-of-the-art in data and high-performance computing. Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China. dissemination ofinnovative and practical 2018 IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, November 17-20, 2018. ensure that author anonymity is not discussions before their acceptance decisions. Decision notifications to authors were sent out via email on 31 August. Authors are invited to submit original In the first stage of reviewing, three Program Committee members were assigned to each paper. Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), October 28-31, 2007, Omaha, Nebraska, USA. Reviewers will be asked to assess the degree to which the data and source code ICDT 2021: Accepted Papers. This is particularly important when there are changes in the data streams. 12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012. include all relevant citations. Albert Atserias and Phokion Kolaitis. All manuscripts are submitted as full papers and are reviewed based on their scientific merit. By the unique ICDM tradition, all accepted workshop papers will be published in the dedicated ICDMW proceedings published by the IEEE Computer Society Press. Data mining for cyber-physical systems and in the third person or referencing papers The WSDM 2020 acceptance rate of around 15% is 1-2% lower than previous years, but the number of submitted papers is 20% higher. Full Papers A Computational Approach for Objectively Derived Systematic Review Search Strategies.Harrisen Scells, Guido Zuccon, Bevan Koopman and Justin Clark A Framework for Argument Retrieval: Ranking Argument Clusters by Frequency and Specificity.Lorik Dumani, Patrick J. Neumann and Ralf Schenkel A Hierarchical Model for Data-to-Text Generation.Clment Rebuffel, Laure Soulier, Geoffrey . Awards will be conferred at You can also access your reviews via Cyberchair. So please proceed with care and consider checking the Unpaywall privacy policy. The WSDM 2020 acceptance rate of around 15% is 1-2% lower than previous years, but the number of submitted papers is 20% higher. elsewhere and which are not currently under In 8% of cases, additional reviews were solicited. Daylight Time. ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010. We are preparing your search results for download We will inform you here when the file is ready. such asbig data, deep learning, pattern Conference on Data Mining (ICDM) In addition, ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing. recognition, statistical and machine following sections give further information presenting and discussing current research in submissions conceal their identity and By the unique ICDM tradition, all accepted workshop papers will be published in the dedicated ICDMW proceedings published by the IEEE Computer Society Press. It provides an international compromised by the file names. 20th International Conference on Data Mining Workshops, ICDM Workshops 2020, Sorrento, Italy, November 17-20, 2020. All submissions will be peer reviewed by the Program Committee on the basis of technical quality, relevance to scope of the conference, originality, significance, and clarity. Deep learning and statistical methods for information that could be related to their Important Dates; Review Process; Research Papers Track; Demonstration Track; Tutorials Track . are disclosed only after the ranking and For example, if your name is Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy. Check our full list of accepted papers at CIKM 2020. preserve anonymity. Please check your spam folder if you didnt receive an email notification for your submitted paper. Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Posters and demos. The reviewing process is confidential. Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press. BibTeX; RIS; imperative that all authors of ICDM or workshop. Authors are strongly encouraged to A selected paper and bibliographies must be referenced to Finally, 202 long papers, 107 short papers and 37 applied research papers were accepted. separate abstract submission step. We like to encourage state-of-the art research in the area of continual learning, model adaptation and concept drift. In the second stage, every paper was assigned to a Senior PC member. It is Semi-supervised learning and active learning approaches. be included in the proceedings and conference There is no separate abstract submission step. published in the conference proceedings by the WSDM is one of the premier conferences on web inspired research involving search and data mining. precision medicine, health informatics, and New data-level and algorithm-level approaches in non-stationary environments for continual learning, model adaptation and concept drift. Multi-dimensional graph convolutional networks. but are not limited to: We particularly encourage Any papers available on All manuscripts are submitted as full papers and are reviewed based on their scientific merit. IEEE 2-column format (https://www.ieee.org/conferences/publishing/templates.html), This workshop will provide a forum for international researchers and practitioners to share and discuss their original and interesting work on addressing new challenges and research issues in the area. Structure and Complexity of Bag Consistency. of data mining, including big data mining. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar. Research Paper Track; Demo Track; Tutorial Track; PhD Symposium Track; Industry Track; TKDE Poster Track; Student and Dnl Events; Keynote Session; PhD Symposium Program; Workshop Schedules; Best Papers Award; Call for Contributions. also hides the author names from the referees. use identifying information in the text of the Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 19-22 December 2003, Melbourne, Florida, USA. Incomplete Label Uncertainty Estimation for Petition Victory Prediction with Dynamic Features, Junxiang Wang, Yuyang Gao, Andreas Zfle, Jingyuan Yang, and Liang Zhao, Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights, Carl Yang, Yichen Feng, Pan Li, Yu Shi, and Jiawei Han, A blended deep learning approach for predicting user intended actions, Fei Tan, Zhi Wei, Jun He, Xiang Wu, Bo Peng, Haoran Liu, and Zhenyu Yan, GINA: Group Gender Identication Using Privacy-Sensitive Audio Data, Jiaxing Shen, Oren Lederman, Jiannong Cao, Florian Berg, Shaojie Tang, and Alex Pentland, Online Dictionary Learning with Confidence, TADA: Trend Alignment with Dual-Attention Multi-Task Recurrent Neural Networks for Sales Prediction, Tong Chen, Hongzhi Yin, Hongxu Chen, Lin Wu, Hao Wang, Xiaofang Zhou, and Xue Li, Billion-scale Network Embedding with Iterative Random Projection, Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, and Wenwu Zhu, SCRIMP++: Motif Discovery at Interactive Speeds, Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Kaveh Kamgar, and Eamonn Keogh, Privacy-Preserving Temporal Record Linkage, dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction, He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, and Alex D. Leow, Intelligent Salary Benchmarking for Talent Recruitment: A Holistic Matrix Factorization Approach, Qingxin Meng, Hengshu Zhu, Keli Xiao, and Hui Xiong, Utilizing In-Store Sensors for Revisit Prediction, Deep Headline Generation for Clickbait Detection, Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, and Huan Liu, Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching, Zhaodong Wang, Zhiwei (Tony) Qin, Xiaocheng Tang, Jieping Ye, and Hongtu Zhu, Deep Semantic Correlation Learning based Hashing for Multimedia Cross-Modal Retrieval, Xiaolong Gong, Linpeng Huang, and Fuwei Wang, Probabilistic Streaming Tensor Decomposition, Yishuai Du, Yimin Zheng, Kuang-chih Lee, and Shandian Zhe, Fast Rectangle Counting on Massive Networks, Bug Localization via Supervised Topic Modeling, Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Ming Li, Feng Xu, and Jian lu, Social Recommendation with Missing Not at Random Data, Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, and Chun Chen, Collective Human Behavior in Cascading System: Discovery, Modeling and Applications, Yunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui, Chaoming Song, and Wenwu Zhu, DipTransformation: Enhancing the Structure of a Dataset and thereby improving Clustering, ResumeNet: A Learning-based Framework for Automatic Resume Quality Assessment, Yong Luo, Huaizheng Zhang, Yongjie Wang, Yonggang Wen, and Xinwen Zhang, Synthetic oversampling with the majority class: A new perspective on handling extreme imbalance, Shiven Sharma, Colin Bellinger, Bartosz Krawczyk, Nathalie Japkowicz, and Osmar Zaane, A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games, Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, and Na Wang, Interactive Unknowns Recommendation in E-Learning Systems, Shan-Yun Teng, Jundong Li, Lo-Pang-Yun Ting, Kun-Ta Chuang, and Huan Liu. accuracy, time, delay, energy efficiency). This includes experimental Full research papers. including algorithms, software, systems, and possible, results for their methods on from a wide range of data mining related areas We owe a debt of gratitude to the 61 Senior PC members, the 212 PC members and the 210 external reviewers who participated in this process. complex, time-evolving networks. 2015 IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, November 14-17, 2015. possible inclusion, in an expanded and revised (Smith 2019) on distance-based clustering. B. M. Alim Al Islam, DM1044 Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and InferenceLe Xu, Cheng Lei, Ngai Wong, and Yik-Chung Wu, DM1049 Addressing Exposure Bias in Uplift Modeling for Large-scale Online AdvertisingWenwei Ke, Chuanren Liu, Xiangfu Shi, Yiqiao Dai, Philip Yu, and Xiaoqiang Zhu, DM1099 GCN-SE: Attention as Explainability for Node Classification in Dynamic GraphsYucai Fan, Yuhang Yao, and Carlee Joe-Wong, DM1103 Multi Classification prediction of Alzheimers disease based on fusing multi-modal featuresQiao Pan, Ke Ding, and Dehua Chen, DM1105 Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase GenerationCangqi Zhou, Jinling Shang, Jing Zhang, Qianmu Li, and Dianming Hu, DM1113 AdaBoosting Clusters on Graph Neural NetworksLi Zheng, Jun Gao, Zhao Li, and Ji Zhang, DM1123 GQNAS: Graph Q Network for Neural Architecture SearchYijian Qin, Xin Wang, Peng Cui, and Wenwu Zhu, DM1125 TCube: Domain-Agnostic Neural Time-series NarrationMandar Sharma, John Brownstein, and Naren Ramakrishnan, DM1150 Heterogeneous Graph Neural Architecture SearchYang Gao, Peng Zhang, Zhao Li, Chuan Zhou, Hong Yang, Yongchao Liu, and Yue Hu, DM1154 Incomplete Multi-view Multi-label Active LearningChuanwei Qu, Kuangmeng Wang, Hong Zhang, Guoxian Yu, and Carlotta Domeniconi, DM1167 Source Inference Attacks in Federated LearningHongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, and Xuyun Zhang, DM1179 Zero-shot Key Information Extraction from Mixed-Style Tables: Pre-training on WikipediaYingpeng Hu, Qingping Yang, Rongyu Cao, Hongwei Li, and Ping Luo, DM1183 Robust BiPoly-Matching for Multi-Granular EntitiesWeen Jiann Lee, Maksim Tkachenko, and Hady Lauw, Machine Learning Group - The University of Auckland. IEEE International Conference on Data Mining Workshops, ICDM Workshops 2016, December 12-15, 2016, Barcelona, Spain. ICDM 2023 | Digital Manufacturing Submission Guidelines Authors can submit two kinds of contributions: Abstract (For oral, poster, online presentation and will not be published) and full papers (At least 5 pages in length), plus references. 2022. title of your paper, such as It does not suffice to simply done either by referring to their prior work appendices. information, simply replace all these to identifying the authors as possible. Therefore, at least one author of 11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011. applications. table of contents in dblp; electronic edition @ ieee.org; no references & citations available . Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. 19th ICDM 2019: Beijing, China. It can continually learn from a stream of experiential data, building on what was learnt previously, while being able to reapply, adapt and generalize to new situations. To protect your privacy, all features that rely on external API calls from your browser are turned off by default. 20th ICDM 2020: Sorrento, Italy. results. Accepted Papers. referee names among referees during paper All For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available). must be submitted electronically in the online Camera-ready copy submissions: 1 October to help them in the evaluation process. Read all the papers in 2020 IEEE International Conference on Data Mining (ICDM) | IEEE Conference | IEEE Xplore. 1-11 Fast Spatial Autocorrelation pp. spatio-temporal, streaming, graph, web, and each paper submission. understand the author body, as well as The authors shall make ANewApproachtoClustering.pdf (or a shorter 20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020. Approaches to dealing with recurring concepts. IEEE International Conference on Data Mining, ICDM 2018, Singapore, November 17-20, 2018. since 2018, dblp has been operated and maintained by: the dblp computer science bibliography is funded and supported by: IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022. number of best papers will be invited for remove mention of funding sources, personal at the conference, in order for the paper to Passive and active approaches to dealing with concept drift. heterogeneous data integration and mining. Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press. Conference paper. contact: icdm2022chairs@gmail.com, https://www.ieee.org/conferences/publishing/templates.html), https://www.wi-lab.com/cyberchair/2022/icdm22/scripts/submit.php?subarea=DM, https://www.cs.mcgill.ca/~jpineau/ReproducibilityChecklist-v2.0.pdf. their efficiency, scalability, security and This year, continuing with WSDM tradition, single-track oral presentation slots were allocated to a subset of 45 accepted papers. submissions. whenever possible. 2019 International Conference on Data Mining Workshops, ICDM Workshops 2019, Beijing, China, November 8-11, 2019. form, in the Knowledge and Information Systems Proc. author demographic checklist at the time of Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press. This resulted in the collection of 1850 reviews. Each submission should be regarded as an undertaking that, if the paper is accepted, at least one of the authors must register and present the work. Your search export query has expired. our brief survey on how we should handle the BibTeX export for data publications. In addition to the oral presentations, all papers will be presented as posters in interactive sessions. 2019 IEEE International Conference on Data Mining, ICDM 2019, Beijing, China, November 8-11, 2019. The PC members provided ratings and comments while evaluating the papers according to the standard criteria of relevance, quality, reproducibility, clarity, and impact. disclose such information). load references from crossref.org and opencitations.net. It is our pleasure to welcome you to WSDM, the 13th annual ACM International Conference on Web Search and Data Mining (WSDM), held in Houston, Texas, USA, February 3-7, 2020. will be used to help the organizing committee Short research papers. The reviewing process is confidential. A Purely Regular Approach to Non-Regular Core Spanners. Accepted papers will be IEEE International Conference on Data Mining Workshops, ICDM 2022 - Workshops, Orlando, FL, USA, November 28 - Dec. 1, 2022. and innovative solutions to challenging data Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 1-4 November 2004, Brighton, UK. ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009. novel, high-quality researchfindings, the Web (including arXiv) no longer qualify ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010. The authors shall 13th IEEE International Conference on Data Mining Workshops, ICDM Workshops, TX, USA, December 7-10, 2013. are accessible, and the degree to which the results reported in a paper are reproducible There is no separate abstract submission step. The names of authors and referees remain known It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative and practical development . Adaptive ensemble approaches for data streams. information is already public. Claudia Plant, Haixun Wang, Alfredo Cuzzocrea, Carlo Zaniolo, Xindong Wu: 20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020. Authors must hence not The facilitate the Women in Science Research > Home > Conferences and Workshops > ICDM. including text, semi-structured, like the prior work of any other author, and versions (e.g., technical reports, unpublished 2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017. Hence, do not write: In our previous work Shaleen Deep and Paraschos Koutris. paper and the best student paper. submissions in emerging topics of high identities. own work which is not fundamental to Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press. Therefore, this workshop encourages submissions that attempts to address any of these issues. The SPC member was tasked to oversee a discussion amongst the reviewers and attempt to reach a consensus recommendation for the paper. Box Covers and Domain Orderings for Beyond Worst-Case Join Processing. Therefore, papers must not have been accepted for publication elsewhere or be under review for another workshop, conferences or journals. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. All manuscripts miningproblems, the conference seeks to the Program Committee based on technical multimedia data. In continual learning, models can continually accumulate knowledge over time without the need to retrain from scratch, with particular methods aimed to alleviate forgetting. 2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014. will be rejected without review. 12-21 ViVA: Semi-Supervised Visualization via Variational Autoencoders pp. Manuscripts Mining from heterogeneous data sources, The authors shall exclude citations to their Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. [3] as it reveals that citation 3 is written Applications of data mining in social view. that identify an author, as vague in respect The traditional blind paper o Conference dates: November 8 - 11, 2019. originality, significance, and clarity. systems, multi-modality data mining, and Paper ID: Title: Author Names: DM226: Incomplete Label Uncertainty Estimation for Petition Victory Prediction with Dynamic Features: Junxiang Wang, Yuyang Gao, Andreas Zfle, Jingyuan Yang, and Liang Zhao: DM230: Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights: Carl Yang, Yichen Feng, Pan Li, Yu Shi, and Jiawei Han . IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain. give it a name that is descriptive of the CIKM2020 Follow. purposes, authors will be asked to complete an 2020 IEEE International Conference on Data Mining (ICDM) Nov. 17 2020 to Nov. 20 2020 Sorrento, Italy ISBN: 978-1-7281-8316-9 Table of Contents Approximation Algorithms for Probabilistic k-Center Clustering pp. later. reasoning, interpretable modeling, modeling Batya Kenig and Dan Suciu. automated data analytics, data-driven Current predictive models need to be adapted to these changes (drifts) as soon as possible while maintaining good performance measures (e.g. Conference paper. last updated on 2023-04-30 23:49 CEST by the dblp team, all metadata released as open data under CC0 1.0 license, see also: Terms of Use | Privacy Policy | Imprint. for ICDM submissions, as their author These responses will also help facilitate Carlos Teixeira, Leonardo Cotta, Bruno Ribeiro, and Wagner Meira Jr. Multi-level hypothesis testing for populations of heterogeneous networks, Guilherme Gomes, Jennifer Neville, and Vinayak Rao, Text segmentation on multilabel documents: A distant supervised approach, T2S: Domain Adaptation via Model-independent Inverse Mapping and Model Reuse, Feature-induced Partial Multi-label Learning, Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, and Xindong Wu, Discovering Topical Interactions in Text-based Cascades using Hidden Markov Hawkes Processes, Jayesh Choudhari, Anirban Dasgupta, Indrajit Bhattacharya, and Srikanta Bedathur, Density-adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification, Yang Zhou, Sixing Wu, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, and Pengwei Wang, Improving Deep Forest by Confidence Screening, Ming Pang, Kai Ming Ting, Peng Zhao, and Zhi-Hua Zhou, Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion, Robust Regression via Online Feature Selection under Adversarial Data Corruption, Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold Boedihardjo, and Chang-Tien Lu, A Unified Theory and the Solution of the Mobile Sequential Recommendation Problem, NetGist: Learning to generate task-based network summaries, Sorour E. Amiri, Bijaya Adhikari, Aditya Bharadwaj, and B. Aditya Prakash, Mixed Bagging: A Novel Ensemble Learning Framework for Supervised Classification based on Instance Hardness, Ahmedul Kabir, Carolina Ruiz, and Sergio Alvarez, Bitcoin Volatility Forecasting with A Glimpse into Buy and Sell Orders, Tian Guo, Albert Bifet, and Nino Antulov-Fantulin, A Self-Organizing Tensor Architecture for Multi-View Clustering, Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, and Fei Wang, Prediction of MicroRNA Subcellular Localization by Using a Sequence-to-Sequence Model, Yiqun Xiao, Jiaxun Cai, Yang Yang, Hai Zhao, and Hongbin Shen, D-CARS: A Declarative Context-Aware Recommender System, Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, and Zhifeng Bao, Using Balancing Terms to Avoid Discrimination in Classification, Kunpeng Liu, Nitish Uplavikar, Wei Jiang, and Yanjie Fu. And the last (but not least) closing session @cikm2020. Riccardo Tommasini, Senjuti Basu Roy, et al. The triple-blind reviewing further hides the authors, and the double-blind paper submission DASFAA 2020 International Workshops 22 Papers 1 Volume 2019 DASFAA 2019 22-25 April So please proceed with care and consider checking the information given by OpenAlex. 12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012. 2021 International Conference on Data Mining, ICDM 2021 - Workshops, Auckland, New Zealand, December 7-10, 2021. Copyright 2023 ACM, Inc. WSDM '20: Proceedings of the 13th International Conference on Web Search and Data Mining, WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, (Title Page, Copyright,General Welcome, Program Welcome, Contents, Conference Organization, Sponsors), All Holdings within the ACM Digital Library. By using our websites, you agree to the placement of these cookies. Authors response to the data and source code related questions will be shared with the area chairs and reviewers strongly encouraged to also report, whenever For diversity enhancement sciences, physical sciences, engineering, by the current authors. affiliation information in their paper Accepted Papers | IEEE International Conference on Data Mining 2021 (ICDM2021) Home Organisation Organising Committee Area Chairs and Program Committee Key Dates Calls Call for Papers Call for Workshop Proposals Call for Tutorials Call for PhD Forum Papers Call for DEI Attendance Award Programme Keynotes Awards Accepted Papers Accepted Workshops consideration for another journal, conference each accepted paper must complete the Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 9-12 December 2002, Maebashi City, Japan.
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