Informatics Publishing Limited

Savita Patil ¹, V. Hariharan ²

Affiliations
1 The Oxford College of Engineering, Bommanahalli, Bangalore-68, IN
2 Department of CSE, The Oxford College of Engineering, Bommanahalli, Bangalore-68, IN

Abstract

With the increase in the number of mobile commerce transaction, it is beneficial to have architecture to provide better mobile commerce experience and facilities to users. The locations and mobile commerce data generated by users can be analyzed using data mining techniques to arrive at similarity of items and stores. Similarity data clubbed with the patterns in historical transactions of user can be used for prediction of mobile transaction of the user. Here we propose a novel architecture called as Mobile Commerce Explorer. The MCE framework consists of three major components: 1) Similarity Inference Model (SIM) for measuring the similarities among stores and items, which are two basic mobile commerce entities considered in this paper; 2) Personal Mobile Commerce Pattern Mine (PMCP-Mine) algorithm for efficient discovery of mobile users' Personal Mobile Commerce Patterns (PMCPs); and 3) Mobile Commerce Behavior Predictor (MCBP) for prediction of possible mobile user behaviors.

Keywords

Data Mining, Mobile Commerce.

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S. Venkatesan ¹, V. Hariharan ¹, G. Y. Yashodhara Kumar ¹

Affiliations
1 Department of Clinical Psychology, All India Institute of Speech and Hearing, Manasagangotri, Mysore, IN

Abstract

The Gesell's Drawmg Test of Intelligence is a useful screening tool for research and clinical practice. This cross-sectional exploratory research seeks to compare performance of a purposive sample of 59 children in age range of S- 12 years on the test drawing activity by using computer based Paint Brush Program along with concurrent use of its traditional paper-pencil mode of test administration. Independent scoring by three mutually blinded examiners show no significant difference in scores of subjects between the two modes of administration (p >0.05). However, a consistent pattern of within group differences seen with higher scores for paper-pencil mode of administration on variables like gender, age, residence, type of syllabus, and family background (p 0.05). The findings are discussed with merits and demerits in the ongoing efforts to develop computer-enabled testing devices for children.

Keywords

Computer vs. Paper, Drawing Tests, Geometric Designs, Inter-Examiner Reliability.

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