A multi-method persona development process in a large e-commerce business is described. Personas are fictional representations of customers that describe typical user attributes to facilitate a user-centered approach in interaction design. In the current project persona attributes were derived from various data sources, such as stakeholder interviews, user tests and interviews, data mining, cus...

Conventional descriptive methods rarely convey the behavioural information needed to conserve and manage the world’s vegetation. Such information may be derived from a generic set of plant functional attributes (PFAs). A grammar provides a syntactic rule base for generating and comparing coherent models of individual plant behaviour based on PFA combinations rather than discrete attributes. The...

In this paper, we discuss the implementation and performance of our developed bibliographic navigator with the text mining. We categorize the different attributes and extend the mining association algorithms and in order to provide more helpful rules. By our proposed algorithm, more interesting rules are derived from relationships between several categorized attributes in bibliographic database...

background: liver cirrhosis was one of the most important liver diseases. other chronic liver diseases could be lead to liver cirrhosis. liver cirrhosis could be lead one kind of liver cancers named hepatocellular carcinoma. cirrhosis in the early stages just by laboratory and imaging testes could be diagnosed. in this study cirrhotic patients were classified based on laboratory symptoms. for t...

By applying the probability estimation of the unavailable attributes derived from the available attributes to the neighborhood system, the suited degree of each neighbor to a given object is depicted. Therefore, the neighborhood space with guaranteed suited precision is obtained. We show how to shrink the rule search space via VPRS model for this space, and also, we will prove the incredibility...

Clustering is an important data mining technique. There are many algorithms that cluster either numeric or categorical data. However few algorithms cluster mixed type datasets with both numerical and categorical attributes. In this paper, we propose a similarity measure between two clusters that enables hierarchical clustering of data with numerical and categorical attributes. This similarity m...

In 2005, G.Ganesan derived a procedure of adapting rough computing in fuzzy domains through thresholds. Through this, in 2008, he introduced a naive procedure of three way indexing any information system with fuzzy decision attributes. in 2013, he introduced a naïve procedure of characterizing an information system with fuzzy decision attributes through rough fuzzy groups. In this paper, we imp...

As part of our endeavor to enhance survival of natural product derived drug candidates and to guide the medicinal chemist to design higher probability space for success in the anti cancer drug development area, we embarked on a detailed study of the property space for a collection of natural product derived anti cancer molecules. We carried out a comprehensive analysis of properties for 24 natu...