01831nam a2200217Ia 4500 CTU_153580 210402s9999 xx 000 0 und d 004.0151 C298 Carpineto, Claudio Concept data analysis : Theory and applications Claudio Carpineto, Giovanni Romano Chichester, England Wiley c2004 Concept Data Analysis: Theory & Applications is essential for researchers active in information processing and data mining as well as industry practitioners who are interested in creating a commercial product for concept data analysis or developing content management applications. Computer science students will also find it invaluable. Thanks to its simplicity, elegance and versatility, concept data analysis can effectively support various kinds of content management tasks using different or heterogeneous types of data, such as: Provides a comprehensive treatment of the full range of techniques developed for concept data analysis covering creation, maintenance, display and manipulation of concept lattices ; Presents application areas such as information retrieval and mining from text and web data as well as rule mining from structured data ; and Features two detailed case studies; exploring the content of the ACM Digital Library using an interface that integrates multiple search functionalities; and mining web retrieval results through the system CREDO, a version of which is available on-line for testing. Computer science,Machine learning,Information retrieval,Phục hồi thông tin,Khoa học máy tính,Học của máy Mathematics,Toán học Trọng Hiếu Trung tâm Học liệu Trường Đại học Cần Thơ