Computer science and data analysis series最新文献

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Interactive graphics for Data Analysis - Principles and Examples 数据分析用交互式图形。原理和示例
Computer science and data analysis series Pub Date : 2008-10-24 DOI: 10.1201/b17187
M. Theus, Simon Urbanek
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引用次数: 100
Clustering for data mining - a data recovery approach 数据挖掘的聚类——一种数据恢复方法
Computer science and data analysis series Pub Date : 2005-04-01 DOI: 10.1201/9781420034912
B. Mirkin
{"title":"Clustering for data mining - a data recovery approach","authors":"B. Mirkin","doi":"10.1201/9781420034912","DOIUrl":"https://doi.org/10.1201/9781420034912","url":null,"abstract":"INTRODUCTION: HISTORICAL REMARKS WHAT IS CLUSTERING Exemplary Problems Bird's Eye View WHAT IS DATA Feature Characteristics Bivariate Analysis Feature Space and Data Scatter Preprocessing and Standardizing Mixed Data K-MEANS CLUSTERING Conventional K-Means Initialization of K-Means Intelligent K-Means Interpretation Aids Overall Assessment WARD HIERARCHICAL CLUSTERING Agglomeration: Ward Algorithm Divisive Clustering with Ward Criterion Conceptual Clustering Extensions of Ward Clustering Overall Assessment DATA RECOVERY MODELS Statistics Modeling as Data Recovery Data Recovery Model for K-Means Data Recovery Models for Ward Criterion Extensions to Other Data Types One-by-One Clustering Overall Assessment DIFFERENT CLUSTERING APPROACHES Extensions of K-Means Clustering Graph-Theoretic Approaches Conceptual Description of Clusters Overall Assessment GENERAL ISSUES Feature Selection and Extraction Data Pre-Processing and Standardization Similarity on Subsets and Partitions Dealing with Missing Data Validity and Reliability Overall Assessment CONCLUSION: Data Recovery Approach in Clustering BIBLIOGRAPHY Each chapter also contains a section of Base Words","PeriodicalId":311591,"journal":{"name":"Computer science and data analysis series","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114245201","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: 460
Bayesian Artificial Intelligence 贝叶斯人工智能
Computer science and data analysis series Pub Date : 1900-01-01 DOI: 10.5860/choice.41-5948
K. Korb, A. Nicholson
{"title":"Bayesian Artificial Intelligence","authors":"K. Korb, A. Nicholson","doi":"10.5860/choice.41-5948","DOIUrl":"https://doi.org/10.5860/choice.41-5948","url":null,"abstract":"Bayesian Reasoning. Introduction to Bayesian Networks. Inference in Bayesian Networks. Bayesian Network Applications. Bayesian Planning and Decision-Making. Bayesian Network Applications II. Learning Bayesian Networks I. Learning Bayesian Networks II. Causality vs. Probability. Knowledge Engineering with Bayesian Networks I. Knowledge Engineering with Bayesian Networks II. Application Software.","PeriodicalId":311591,"journal":{"name":"Computer science and data analysis series","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131320094","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: 729
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