Clustering, an extremely important technique in Data Mining is an automatic learning
technique aimed at grouping a set of objects into subsets or clusters. The goal is to create …

This paper describes a machine vision framework that determines the ocular manifestation
of plant diseases by analyzing the images in CIELab color space. The major contribution of …

Recommender systems have been widely used in many fields, but have been particularly
common in the generation of user feedback. For Taiwanese employment websites …

Abstract Evaluation of computer and information technologies has changed the way people
used to communicate and perform their tasks. Data mining algorithm is utilized for converting …

With the development of digital cable interactive business and the diversification of the
customers' demand, grouping TV programmes based on preferences of users effectively is …

This paper presents, simulate, access and applies the proposed for data classification of
medical dataset with aims to classify patients based on medical history. This modified data …

Um den drastischen Anstieg an verfügbaren Daten zu versinnbildlichen, hat sich in den
letzten Jahren das Synonym Big Data in der praktischen und wissenschaftlichen Diskussion …

Clustering is a process to form the same group as per the similarity values. Document
clustering has given importance to the information retrieval and data mining process. This …

This paper proposes a multilevel unsupervised image segmentation approach aimed at
salient object extraction. The fundamental objective is the extrication of pronounced object …

Short text messages, especially mobile SMSs contain not only pure textual strings but also
contain numeric values. Existing systems discard and filter out these numeric values. In our …