  The Web Based File Clustering and Indexing for Mindoro State University aim
to organize data circulated over the Web into groups or collections to
facilitate data availability and access and at the same time meet user
preferences. The main benefits include increasing Web information
accessibility, understanding users navigation behavior, improving information
retrieval and content delivery on the Web. Web based file clustering could help
in reaching the required documents that the user is searching for. In this
paper a novel approach has been introduced for search results clustering that
is based on the semantics of the retrieved documents rather than the syntax of
the terms in those documents. Data clustering was used to improve the
information retrieval from the collection of documents. Data were processed and
analyzed using SPSS where the instrument was evaluated to test the reliability
and validity of the measures used. Evaluation was based on a Likert scale of
Excellent, Good, Fair, and Poor as described for the selected quality
characteristics.
