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Application of STUCCO Algorithm for Finding Contrast Sets for Agricultural Datasets

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Title Application of STUCCO Algorithm for Finding Contrast Sets for Agricultural Datasets
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Creator Sonica Priyadarshini
Alka Arora
Rajni Jain
Sudeep Marwaha
Anshu Bharadwaj
A.R. Rao
Soumen Pal
 
Subject Contrast set
Pattern discovery
Statistical significance
STUCCO algorithm.
 
Description Not Available
The interplay between computer science and agriculture has led to the collection of huge amounts of information in agricultural datasets. The process of turning low level data into high level knowledge is popularly known as data mining. The field of agriculture has many applications and one important application is in terms of deriving useful patterns like characteristics of disease and varieties. Understanding the distinctions between
numerous contrasting groups is a crucial issue in data analysis in order to discover new patterns. These contrasting groups can represent various item classes, such as disease or varieties for different crop groups. Contrast sets are the combinations of attributes and their values that differ meaningfully in their distribution across groups. STUCCO algorithm is a search method for mining contrast sets leading to pattern discovery. The algorithm’sapplicability for pattern detection has been demonstrated using agricultural datasets in this paper. Approach resulted in significant pattern discovery for description of soybean disease and IRIS varieties characteristics
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Date 2023-07-05T05:13:17Z
2023-07-05T05:13:17Z
2022-09-01
 
Type Research Paper
 
Identifier Priyadarshini, S. , Arora, A., Jain, R., Marwaha, S. , Bharadwaj, A ., Rao, A.R., Pal, S. (2022). Application of STUCCO Algorithm for Finding Contrast Sets for Agricultural Datasets. Journal Of The Indian Society Of Agricultural Statistics 76(2)85–92
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http://krishi.icar.gov.in/jspui/handle/123456789/79574
 
Language English
 
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Publisher Not Available