Titlebook: Intelligent Computing and Innovation on Data Science; Proceedings of ICTID Sheng-Lung Peng,Sun-Yuan Hsieh,Balaganesh Duraisam Conference pr

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Intelligent Computing and Innovation on Data ScienceProceedings of ICTID

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SVM- and K-NN-Based Paddy Plant Insects Recognition,ld. This work aims to develop an automated agricultural image-based plant-insect recognition system. The BAG and SURF features are extracted and passed over the classifiers SVM and k-NN. The performance of IR2PI using k-NN is better than IR2PI using SVM with an accuracy of 95%.

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Anomaly Detection in Business Process Event Using KNN Algorithm,an intuitive approach for extracting unusual activity from case records. The proposed method is tested in-depth. Its implementation dramatically increases the discovered process model efficiency combined with some current process discovery algorithms and scales well to large data sets.

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Conference proceedings 2021, engineers, scholars and students in the areas of engineering and technology, and provides an opportunity for the dissemination of original research results, new ideas, research and development, practical experiments, which concentrate on both theory and practices, for the benefit of common man..

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Conference proceedings 2021y Lincoln University, Malaysia from 19 – 20 February 2021. It covers wide range of recent technologies like artificial intelligence and machine learning, big data and data sciences, Internet of Things (IoT), and IoT-based digital ecosystem. The book brings together works from researchers, scientists

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Climatic Analysis for Agriculture Cultivation in Geography Using Big Data Analytics,energy. This climatic condition mostly affects the farmers. Carbon usage, soil quality, and crops are the main factors for any farming productivity. Predicting climate, carbon usage, and soil quality can provide the health of any farming activities. This prediction accuracy level can be closed by applying machine learning techniques to Big Data.