Our fundamental objective is to tackle the problem faced in the field of information retrieval and classification in the current era of information overflow by proposing better an...
An implicit assumption of many machine learning algorithms is that all attributes are of the same importance. An algorithm typically selects attributes based solely on their statis...
: Many believe that today's Web has not yet reached the full potential which globally distributed systems may achieve in terms of information access and use. Realizing this po...
Although concept maps have been found to be effective in science education research, these are critiqued for being informal due to informal usage of relation and attribute names t...
Granular Computing is an emerging conceptual and computing paradigm of information processing. A central notion is an information-processing pyramid with different levels of clari...