The World of medicine has gained considerable interest in the research area all over the World. Scientists constantly work on the three parameters ‘Quality, Safety, Efficacy’ of a pharmaceutical ingredient. Refine these parameters; they are continually developing different dosage forms. These unique types of dosage forms help to provide improved bioavailability and efficacy of a pharmaceutical ingredient. The role of dosage form is to improve the availability of the medicine to treat the symptoms and disease. This article focus on the different types of dosage forms, their advantages and some important facts related to that dosage forms.

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The field of data mining is progressing rapidly presenting researchers with many opportunities for research. Sequential pattern mining is a popular and long established technique in data mining which extracts data in the form of sequential patterns satisfying a threshold value such as utility, support, profit or a combination of these. The application of fuzzy theory in sequential pattern mining has also been favored leading to more natural liinguistic representation. Researchers have proposed various hybrid algorithms with fuzzification of any one parameter such as time or quantity. This paper proposes a hybrid fuzzy algorithm for mining of frequent and high utility sequential patterns with fuzzification of both purchase time and purchase quantity parameters, thereby giving more useful fuzzy sequential patterns. Experimental results also prove that the proposed algorithm is better than the existing algorithms. INDEX TERMS Fuzzy theory, high utility mining, maximum measure, sequential pattern mining, timeintervals VOLUME 4, 2016

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