Boosting is one of the most representational ensemble prediction methods. It can be divided into two se-ries: Boost-by-majority and Adaboost. This paper briefly introduces the research status of Boosting and one of it...Boosting is one of the most representational ensemble prediction methods. It can be divided into two se-ries: Boost-by-majority and Adaboost. This paper briefly introduces the research status of Boosting and one of its seri-als-AdaBoost,analyzes the typical algorithms of AdaBoost.展开更多
With the dramatically development of Internet, the information processing and management technology onWWW have become a great important branch of data mining and data warehouse. Especially, nowadays, Text Miningis mar...With the dramatically development of Internet, the information processing and management technology onWWW have become a great important branch of data mining and data warehouse. Especially, nowadays, Text Miningis marvelously emerging and plays an important role in interrelated fields. So it is worth summarizing the contentabout text mining from its definition to relational methods and techniques. In this paper, combined to comparativelymature data mining technology, we present the definition of text mining and the multi-stage text mining process mod-el. Moreover, this paper roundly introduces the key areas of text mining and some of the powerful text analysis tech-niques, including: Word Automatic Segmenting, Feature Representation, Feature Extraction, Text Categorization,Text Clustering, Text Summarization, Information Extraction, Pattern Quality Evaluation, etc. These techniquescover the whole process from information preprocessing to knowledge obtaining.展开更多
Data-mining is a kind of solution for solving the problem of information exploding. Classification and prediction belong to the most fundamental tasks in data-mining field. Many experiments have showed that the result...Data-mining is a kind of solution for solving the problem of information exploding. Classification and prediction belong to the most fundamental tasks in data-mining field. Many experiments have showed that the results of ensemble of learning methods are generally better than those of single learning methods under most of the time. In the sense,it is of great value to introduce ensemble of learning methods to data mining. This paper introduces data mining and ensemble of learning methods respectively,along with the analysis and formulation about the role ensemble of learning methods can act in some important practicing aspects of data mining:Text mining,multi-media information mining and web mining.展开更多
文摘Boosting is one of the most representational ensemble prediction methods. It can be divided into two se-ries: Boost-by-majority and Adaboost. This paper briefly introduces the research status of Boosting and one of its seri-als-AdaBoost,analyzes the typical algorithms of AdaBoost.
文摘With the dramatically development of Internet, the information processing and management technology onWWW have become a great important branch of data mining and data warehouse. Especially, nowadays, Text Miningis marvelously emerging and plays an important role in interrelated fields. So it is worth summarizing the contentabout text mining from its definition to relational methods and techniques. In this paper, combined to comparativelymature data mining technology, we present the definition of text mining and the multi-stage text mining process mod-el. Moreover, this paper roundly introduces the key areas of text mining and some of the powerful text analysis tech-niques, including: Word Automatic Segmenting, Feature Representation, Feature Extraction, Text Categorization,Text Clustering, Text Summarization, Information Extraction, Pattern Quality Evaluation, etc. These techniquescover the whole process from information preprocessing to knowledge obtaining.
文摘Data-mining is a kind of solution for solving the problem of information exploding. Classification and prediction belong to the most fundamental tasks in data-mining field. Many experiments have showed that the results of ensemble of learning methods are generally better than those of single learning methods under most of the time. In the sense,it is of great value to introduce ensemble of learning methods to data mining. This paper introduces data mining and ensemble of learning methods respectively,along with the analysis and formulation about the role ensemble of learning methods can act in some important practicing aspects of data mining:Text mining,multi-media information mining and web mining.
