The proliferation of digital computing devices and their use in communication has resulted in an increased demand for systems and algorithms capable of mining textual data. Thus, the development of techniques for mining unstructured, semi-structured, and fully-structured textual data has become increasingly important in both academia and industry.
This second volume continues to survey the evolving field of text mining - the application of techniques of machine learning, in conjunction with natural language processing, information extraction and algebraic/mathematical approaches, to computational information retrieval. Numerous diverse issues are addressed, ranging from the development of new learning approaches to novel document clustering algorithms, collectively spanning several major topic areas in text mining.
發表於2024-12-25
Survey of Text Mining II 2024 pdf epub mobi 電子書 下載
圖書標籤: 計算機科學 文本挖掘 數據挖掘 of Text Survey Springer Mining
Survey of Text Mining II 2024 pdf epub mobi 電子書 下載