发布求助
文献互助 智能选刊 最新文献

First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)最新文献

筛选
英文 中文
Prevent In-Game Cheat in Network Games 防止网络游戏中的作弊
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.95
Shaolong Li, Changjia Chen, Lei Li
{"title":"Prevent In-Game Cheat in Network Games","authors":"Shaolong Li, Changjia Chen, Lei Li","doi":"10.1109/WKDD.2008.95","DOIUrl":"https://doi.org/10.1109/WKDD.2008.95","url":null,"abstract":"Network games have become a popular social experience, while problem of in-game cheat (e.g. trade cheat, fraud and so on) has not an effective solution by now. In this paper, we propose a method to help players to prevent in-game cheat on the basis of group interaction analysis in massive multiplayer online role playing games (MMORPG). Frequency of group interactions reflects how possible two players like to play together. So, group interactions of all players can help a given player to distinguish between righteous players who have high frequency of group interactions with famous virtuous roles or his dependable friends and suspectable players who have high frequency of group interactions with notorious roles. In this paper, we develop an algorithm to visualize group interactions according to psychology of players and rules of the game system, and then we propose a simple method to prevent in-game cheat.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115393016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Using Hybrid Algorithm for Automatic Recommendation Service 基于混合算法的自动推荐服务
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.142
Yanwen Wu, Zhen Huang, Zhiqiang Gong
{"title":"Using Hybrid Algorithm for Automatic Recommendation Service","authors":"Yanwen Wu, Zhen Huang, Zhiqiang Gong","doi":"10.1109/WKDD.2008.142","DOIUrl":"https://doi.org/10.1109/WKDD.2008.142","url":null,"abstract":"A hybrid algorithm based on decision tree and BP network is presented in the paper, which is applied to Automatic Recommendation service. We apply decision tree to mine the behavior pattern of initial learning capability of students as well as get learning state of users based on BP neural network to. Then the personalized study pattern will be formed according to the status of students. Finally, for users which course will be studied is shown automatically.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"293 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116567672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Design and Implementation of the Network Server Based on SIP Communication Protocol 基于SIP通信协议的网络服务器的设计与实现
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.127
Yanping Gao, Yuanyuan Hong, Fengjiao Jiang
{"title":"Design and Implementation of the Network Server Based on SIP Communication Protocol","authors":"Yanping Gao, Yuanyuan Hong, Fengjiao Jiang","doi":"10.1109/WKDD.2008.127","DOIUrl":"https://doi.org/10.1109/WKDD.2008.127","url":null,"abstract":"SIP is a kind of application-layer control signaling protocol for creating, modifying and finishing the conversation with one or more participants. It has several advantages such as simple, good expansibility and scalability, and so on. Based on the SIP, in this paper a design and implementation scheme of SIP server system is proposed, and the scheme can realize the functions of IP phone such as calling, billing and so on, and finally based on the standards and interfaces of JainSip API which was provided by SUN company the design scheme is realized.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121176222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
An Algorithm for Rn Constrained Global Optimization Based on Filled Function Method 基于填充函数法的Rn约束全局优化算法
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.123
Wei-xiang Wang, Y. Shang
{"title":"An Algorithm for Rn Constrained Global Optimization Based on Filled Function Method","authors":"Wei-xiang Wang, Y. Shang","doi":"10.1109/WKDD.2008.123","DOIUrl":"https://doi.org/10.1109/WKDD.2008.123","url":null,"abstract":"Many aspects in the study of the development and the use of advanced information technologies and systems involves constrained global optimization. In this paper, a filled function with one parameter is proposed for escaping the current local minimizer. Then a new algorithm for obtaining a global optimizer is presented. Using this method, a global minimizer can be obtained just by searching for local optimizers of the original problem and some certain unconstrained optimization problems. The numerical results show the efficiency of this method.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122622364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Research on Evaluation of E-Commerce WebSites Based on Linguistic Ordered Weighted Averaging Operator 基于语言有序加权平均算子的电子商务网站评价研究
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.105
Peide Liu, R. Hu
{"title":"Research on Evaluation of E-Commerce WebSites Based on Linguistic Ordered Weighted Averaging Operator","authors":"Peide Liu, R. Hu","doi":"10.1109/WKDD.2008.105","DOIUrl":"https://doi.org/10.1109/WKDD.2008.105","url":null,"abstract":"Along with the development of network economy, the E-commerce becomes a very popular and innovative business model which has bright prospect. How to evaluate those E-commerce Websites equitably and objectively becomes a problem that both customers and Website investors pay close attention to. This paper introduced an E-commerce Websites evaluation system and then proposed a method to evaluate E-commerce Websites based on LWD (linguistic weighted disjunction) and LOWA (linguistic ordered weighted averaging) operator. This method is practical and feasible.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116390516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
A Hybrid Intelligent Algorithm for Stochastic Dependent-Chance Programming 随机相关-机会规划的混合智能算法
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.51
Xiaoli Ning, Zeng Jianchao
{"title":"A Hybrid Intelligent Algorithm for Stochastic Dependent-Chance Programming","authors":"Xiaoli Ning, Zeng Jianchao","doi":"10.1109/WKDD.2008.51","DOIUrl":"https://doi.org/10.1109/WKDD.2008.51","url":null,"abstract":"The stochastic dependent-chance programming belongs to a class of stochastic programming problems, which has wide application backgrounds, in order to search an algorithm which can more effectively solve this problem, in the paper, stochastic simulation is used to produce training samples for BP neural networks, and a hybrid intelligent algorithm for stochastic dependent-chance programming combined PSO algorithm with BP neural networks for approximation of the chance function is presented. Finally, the simulation results of two examples are given to show the correctness and effectiveness of the algorithm.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122033927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A SVM-Based Change Detection Method from Bi-Temporal Remote Sensing Images in Forest Area 基于svm的森林地区双时相遥感影像变化检测方法
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.49
D. Mo, Hui Lin, Jiping Li, Hua Sun, Zhuo Zhang, Y. Xiong
{"title":"A SVM-Based Change Detection Method from Bi-Temporal Remote Sensing Images in Forest Area","authors":"D. Mo, Hui Lin, Jiping Li, Hua Sun, Zhuo Zhang, Y. Xiong","doi":"10.1109/WKDD.2008.49","DOIUrl":"https://doi.org/10.1109/WKDD.2008.49","url":null,"abstract":"The reliability of support vector machines for classifying multi-spectral images of remote sensing has been proven in various studies. In this paper, we investigate their applicability for land cover change detection in forest regions. Firstly, multidate remote sensing images are co-registered and we have stacked the NDVI index layers of two dates in red, green, blue bands composite to perform a supervised classification. Secondly, sample pixels were manually selected from changed and unchanged area to be used in the training stage. Thirdly, for each pixel SVM produces a single output through its decision function, high detection overall accuracy (>96%) and overall Kappa coefficient (>0.89) were achieved using two landsat images covering an 8-years period in study area. Lastly, SVM-based change detection with different kernel functions was compared using statistical evaluations.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124187964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Characteristic Relations in Generalized Incomplete Information System 广义不完全信息系统中的特征关系
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.59
Yunsong Qi, Lihua Wei, Huaijiang Sun, Yuqing Song, Quansen Sun
{"title":"Characteristic Relations in Generalized Incomplete Information System","authors":"Yunsong Qi, Lihua Wei, Huaijiang Sun, Yuqing Song, Quansen Sun","doi":"10.1109/WKDD.2008.59","DOIUrl":"https://doi.org/10.1109/WKDD.2008.59","url":null,"abstract":"In spite the fact that compatibility relation and similarity relation consider 'do not care' data as lost data, they were introduced to rough set to deal with incomplete information system. Incomplete information system in which 'do not care' data coexists with lost data, this article studies characteristic relation and discusses the unreasonable state which may be brought forth by characteristic class. On one hand, the two objects which do not have the same known value on a certain character seemed to be indiscernible. On the other hand, the two objects which have a lot of equivalent known values are very likely to be distinguished. In order to solve the problems of the classification in generalized incomplete information system, new kinds of characteristic relations named as I and II are brought forth and characteristic relation III is also constructed on advantages of characteristic relation I and II, and at last the validity of the newly constructed characteristic relations is also demonstrated with examples.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121536698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 16
Ontology-Based Research on Wind Power Plant Information Interaction 基于本体的风电场信息交互研究
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-21 DOI: 10.1109/WKDD.2008.88
Yong-li Zhu, Xin-ying Wang, Dong-ling Cheng
{"title":"Ontology-Based Research on Wind Power Plant Information Interaction","authors":"Yong-li Zhu, Xin-ying Wang, Dong-ling Cheng","doi":"10.1109/WKDD.2008.88","DOIUrl":"https://doi.org/10.1109/WKDD.2008.88","url":null,"abstract":"At present, wind power industry has developed rapidly in our country, and has also promoted the step of wind power plant information construction. But in this process, it's impossible to set up a uniform wind power plant management information system using conventional technology and method, because the wind power plant's devices span a long time, have many categories and the information model and communication protocol are also diverse in different wind turbines. Thus, this paper imports knowledge-sharing-based ontology semantic technology, builds the ontology on the basis of wind power plant information model and describes it using OWL. It achieves the wind power plant information sharing, interaction and procession at the semantic level, and provides a new method to build a uniform wind power plant management information system.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124947267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Towards Self-Tuning of Dynamic Resources for Workloads 面向工作负载动态资源的自调优
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-21 DOI: 10.1109/WKDD.2008.112
Fu Duan, Yong-hua Han, Qiuyong Zhao, Keming Xie
{"title":"Towards Self-Tuning of Dynamic Resources for Workloads","authors":"Fu Duan, Yong-hua Han, Qiuyong Zhao, Keming Xie","doi":"10.1109/WKDD.2008.112","DOIUrl":"https://doi.org/10.1109/WKDD.2008.112","url":null,"abstract":"In self-tuning of database performance research area, the optimization of dynamic resources is important. This paper focused on the self-tuning of dynamic resources on the base of feedback mechanism, designed and achieved a simple model combined with Oracle database. This model gave an evaluating principle of system performance, and could adjust system parameters automatically to achieve the goal of system performance. And an evaluation model was designed to evaluate the performance state of the running system. The result after the self-tuning of some parameters was illustrated by simulating various workloads.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"260 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132328145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信