What question did this study set out to answer?

The research aims to explore the communication preferences of farmers in West Bengal using data mining techniques.

Understanding Farmers’ Multi-channel Communication Preference in West Bengal Using Association Rule Mining

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Study investigates communication behaviors in farmers, revealing key channel combinations for effective outreach.

The research aims to explore the communication preferences of farmers in West Bengal using data mining techniques.
Conducted in a specific village involving fifty farmers.
Used Association Rule Mining to identify relationships between various communication channels.
Encoded channel usage as transactions to generate and analyze association rules.
Identified sixty-two significant channel usage combinations among farmers.
Support values showed frequent co-usage of channels ranging from 0.46 to 0.54.
Notable predictive channel pairs included Radio with Agricultural Officers/KVK indicating strong relationships.

THAKUR et al. (2026) studied this question.

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View Full Paper

Ask AI

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Authors

Study investigates communication behaviors in farmers, revealing key channel combinations for effective outreach.

The research aims to explore the communication preferences of farmers in West Bengal using data mining techniques.
Conducted in a specific village involving fifty farmers.
Used Association Rule Mining to identify relationships between various communication channels.
Encoded channel usage as transactions to generate and analyze association rules.
Identified sixty-two significant channel usage combinations among farmers.
Support values showed frequent co-usage of channels ranging from 0.46 to 0.54.
Notable predictive channel pairs included Radio with Agricultural Officers/KVK indicating strong relationships.

THAKUR et al. (2026) studied this question.

View Full Paper

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Bookmark