Titlebook: Clustering and Information Retrieval; Weili Wu,Hui Xiong,Shashi Shekhar Book 2004 Kluwer Academic Publishers 2004 algorithms.architecture.

Cirrhosis

Query Clustering in the Web Context,ich were accumulated with the interactions between users and the system. While there are numerous previous works on document clustering, query clustering is a relatively new topic. The driving force of the development of query clustering techniques comes recently from the requirements of modern web

champaign

Clustering Techniques for Large Database Cleansing,mmon problem in environments where records contain erroneous in a single database (e.g., due to misspelling during data entry, missing information and other invalid data etc.), or where multiple databases must be combined (e.g., in data warehouses, federated database systems and global web-based inf

manifestation

A Science Data System Architecture for Information Retrieval,orts are often captured and managed without reference to any standard principles of information architecture. Interoperability and efficient search and retrieval of data products across disparate data systems is difficult because users are often required to connect to each individual data system and

FLOAT

Granular Computing for the Design of Information Retrieval Support Systems,rmation needs [39]. An IR system is designed with the objective to provide useful and only useful documents from a large document collection [3, 39, 45]. The introduction of the World Wide Web (the Web), digital libraries, as well as many markup languages, has offered new opportunities and challenge