当前资料类别 : 数据挖掘论文 具体内容列表如下:

POLYPHONET: An Advanced Social Network Extraction System ...What′s Really New on the Web? Identifying New Pages...
A Web-based Kernel Function for Measuring the Similarity ...Applications of Mining Web Queries
SPHINX: A Framework for Creating Personal, Site-Specific ...网络信息集成服务研究综述
粗糙集与模糊集的比较研究什么是粗糙集？
From Data Mining to Knowledge Discovery in DatabasesKnowledge Discovery In Databases: Tools and Techniques
Microsoft Brings Software Know-How To HIV ResearchEmbedding Knowledge in Web Documents
A Runtime System for Interactive Web ServicesSemantic Cache Mechanism for Heterogeneous Web Querying
Grouper: A Dynamic Clustering Interface to Web Search Res...Webvise: Browser and Proxy Support for Open Hypermedia St...
Results and Challenges in Web Search EvaluationAutomatic RDF Metadata Generation for Resource Discovery
Measuring Index Quality Using Random Walks on the WebUser Adaptable Multimedia Presentations for the WWW
Unintrusive Customization Techniques for Web AdvertisingImprovement of HITS-based Algorithms on Web Documents
多示例学习基于隐马尔可夫模型的程序行为异常检测
鲁棒性的汉语人称代词消解搜索引擎研究新技术
How do search engines handle non-English queries? - A cas...Link Mining: A Survey
Automatic Personalization Based on Web Usage Mining数据挖掘过程
Knowledge Discovery In Databases: Tools and Techniques模糊空间关联规则挖掘及其在遥感影像分类中的应用
后缀树及其算法在文本挖掘中的应用研究大规模内容计算
The Realization of Agent-Based E-mail Automatic Handling ...The Porter Stemming Algorithm
An algorithm for suffix stripping全民健保医疗费用审查自动化之研究
PBL数字学习系统之设计与实作空间聚类的研究现状及其应用
数据探勘于在线教育训练之应用应用遗传模糊专家分类系统于健保医疗费用申报异常行为之自动化检...
国内外FTP搜索引擎的分析与比较一种新的Web用户行为模式挖掘算法的研究
Sapphire: Large Scale Data Mining and Pattern Recognition”Findability”: The Key to Ente...
ETL中的数据清洗设计一个面向大规模数据仓库数据清洗策略的研究和实现
Influence in Ratings-Based Recommender Systems:An Algorit...How Oversight Improves MemberMaintained
Discovering Personal Gazetteers: An Interactive Clusterin...Using Social Psychology to Motivate Contributions to Onli...
Shilling Recommender Systems for Fun and Prot强化学习研究进展
Towards self-organising Action SelectionNovelty and Reinforcement Learning in the Value System of...
Action Selection methods using Reinforcement Learning时序相似度的主观偏好模型及其系数估计的“锚点”方法
Unsupervised Learning of Soft Patterns for Generating Def...Impact Of Search Engines On Page Popularity
Understanding User Goals in Web Search计算机领域硕士研究生如何进行研究与论文工作
数据挖掘技术及其应用现状数据挖掘语言浅析
Global protein function annotation through mining genome-...Data Mining
Expectation MaximizationSingular Value Decomposition
Cracking Wall StreetComputation at the Onset of Chaos (title page)
Journal of Artificial Intelligence Research基于代理的数据挖掘在Web预取中的应用研究
Analysis of Data Mining Algorithms KDD-2005 Highlights
认知科学研究文本过滤
文本检索知识科学及其研究前沿
Data Mining for Outliers with Robust StatisticsUbiquitous KDD for Mobile and Distributed Environments
Advances in Decision Tree ConstructionValue-based Data Mining and Web Mining for CRM
Scalable Frequent-Pattern Mining Methods: An OverviewE-Business Enterprise Data Mining
Web Mining for E-Commerce: Challenges and OpportunitiesWeaving the Semantic Web: Data Mining for Hypertext
KDD-2000: Visualizing High Dimensional Datasets and Relat...KDD-2000: Biological Domains Tutorial
KDD-2000: Successful Customer Management TutorialKDD-2000: Time Series Tutorial
KDD-2000: High Performance TutorialPaper: Webkdd2003 final ::
Journal of Machine Learning ResearchMeasuring the Web
A Hybrid Strategy for Caching Web Search Engine ResultsHybrid Caching of Search Engine Results
Automatic Personalization Based on Web Usage MiningBlock-level Link Analysis
How to Be a Good Graduate StudentHow to Organize Your Thesis
Basic Research Skills in Computing ScienceWhat is Research in Computing Science?
IEEE Conference on Data MiningPAKDD2006
Text Analytics Summit 2006WISA 2006
软件学报第六届全球智能控制与自动化大会
《计算机工程与应用》杂志简介数据挖掘技术简介
合理选择数据挖掘工具数据挖掘研究现状
论统计分析过程中统计数据的组织问题数据挖掘概述
Estimated impact of publication venues in Computer Scienc...Data Mining Bibliographies
Computer Science Journal RankingsCRSSC会议介绍
:::数据挖掘技术的由来::::::数据挖掘的定义:::
:::数据挖掘的研究历史和现状::::::数据挖掘研究内容和本质:::
:::数据挖掘的功能::::::数据挖掘常用技术:::
:::数据挖掘热点::::::数据挖掘未来研究方向:::