Mining cost-effective patterns in event logs von Fournier-Viger, Philippe, Li, Jiaxuan, Lin, Jerry Chun-Wei, Chi, Tin Truong, Uday Kiran, R.

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Big Data Analytics: 10th International Conference, BDA 2022, Hyderabad, India, December 19-22, 2022, Proceedings von Roy, Partha Pratim, Agarwal, Arvind, Li, Tianrui, Krishna Reddy, P, Uday Kiran, R

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Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility von Uday Kiran, R., Yashwanth Reddy, T., Fournier-Viger, Philippe, Toyoda, Masashi, Krishna Reddy, P., Kitsuregawa, Masaru

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Towards Efficient Mining of Periodic-Frequent Patterns in Transactional Databases von Uday Kiran, R., Krishna Reddy, P.

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Discovering Periodic-Frequent Patterns in Transactional Databases Using All-Confidence and Periodic-All-Confidence von Venkatesh, J. N., Uday Kiran, R., Krishna Reddy, P., Kitsuregawa, Masaru

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Efficient Discovery of Weighted Frequent Neighborhood Itemsets in Very Large Spatiotemporal Databases von Kiran, R. Uday, Reddy, P. P. C., Zettsu, Koji, Toyoda, Masashi, Kitsuregawa, Masaru, Reddy, P. Krishna

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Mining coverage patterns from transactional databases von Gowtham Srinivas, P., Krishna Reddy, P., Trinath, A. V., Bhargav, S., Uday Kiran, R.

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Efficient discovery of periodic-frequent patterns in very large databases von Kiran, R. Uday, Kitsuregawa, Masaru, Reddy, P. Krishna

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Estimation of the Standardized Precipitation Evapotranspiration Index (SPEI) Using a Multilayer Perceptron Artificial Neural Network Model for Central India von Shrivastava, Sourabh, Kiran, R. Uday, Bal, P. K., Singh, K. K.

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An Efficient Approach to Mine Periodic-Frequent Patterns in Transactional Databases von Surana, Akshat, Kiran, R. Uday, Reddy, P. Krishna

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Discovering Periodic Patterns in Non-uniform Temporal Databases von Kiran, R. Uday, Venkatesh, J. N., Fournier-Viger, Philippe, Toyoda, Masashi, Reddy, P. Krishna, Kitsuregawa, Masaru

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Discovering Top-k Periodic-Frequent Patterns in Very Large Temporal Databases von Likhitha, Palla, Ravikumar, Penugonda, Kiran, Rage Uday, Watanobe, Yutaka

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Learning Enhancement Using Question-Answer Generation for e-Book Using Contrastive Fine-Tuned T5 von Kumar, Shobhan, Chauhan, Arun, Kumar C., Pavan

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A Machine and Deep Learning Framework to Retain Customers Based on Their Lifetime Value von Kumaran, Kannan, Pathak, Pramod, Haque, Rejwanul, Stynes, Paul

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Drugomics: Knowledge Graph & AI to Construct Physicians’ Brain Digital Twin to Prevent Drug Side-Effects and Patient Harm von Talukder, Asoke K., Selg, Erwin, Fernandez, Ryan, Raj, Tony D. S., Waghmare, Abijeet V., Haas, Roland E.

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Hui2Vec: Learning Transaction Embedding Through High Utility Itemsets von Belghith, Khaled, Fournier-Viger, Philippe, Jawadi, Jassem

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Analyze the Impact of Weather Parameters for Crop Yield Prediction Using Deep Learning von Patel, Pragneshkumar, Chaudhary, Sanjay, Parmar, Hasit

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A Novel Feature Selection Based Text Classification Using Multi-layer ELM von Roul, Rajendra Kumar, Satyanath, Gaurav

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Data Challenges and Societal Impacts – The Case in Favor of the Blueprint for an AI Bill of Rights (Keynote Remarks) von Sharman, Raj

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Extremely Randomized Tree Based Sentiment Polarity Classification on Online Product Reviews von Saranya, R. B., Kesavan, Ramesh, Nisha Devi, K.

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