Record Details


Field	Value

Title	Apriori algorithm on Marine Fisheries Biological Data Not Available

Creator	Pugazhendi,D

Subject	Data Mining on Fishery Biology Association on fishery data length and weight data Data Mining Association

Description	Not Available Abstract - Data Mining (DM) is the process of analysing data from different vista and gives summary on specific determination. Association rules are rules describing the associations or correlations to bring out the hidden pattern among attributes in data sets. The most widely used algorithm in association technique is Apriori algorithm which is meant for only categorical data analysis. The sample fishery biological data consist of six attributes out of which two are numerical values. As a new attempt, the numerical values were converted to unique nominal values in order to maintain all categorical values. The Apriori algorithm applied on specific criteria such as minimum support and confidence enabled to derive many meaningful patterns on different perspectives. The taeniopterus apecies has more associations between the attributes of total_length range between 120 to 150 and month of August, weight of Thirty and sex of Male. Not Available

Date	2021-09-16T06:56:52Z 2021-09-16T06:56:52Z 2013

Type	Article

Identifier	Not Available Not Available http://krishi.icar.gov.in/jspui/handle/123456789/63075

Language	English

Relation	Not Available

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