Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Aboul Ella Hassanien,Siddhartha Bhattacharyya,Soum Conf

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A Language-Independent Speech Data Collection and Preprocessing Techniqueorganized the speeches and making the scripts are the most important things. And all the description in this work has been described with experience of our own work with speech data. The dataset of this work has exactly 10,992 speech data of 1000 unique words of more than 50 speakers.

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Ensemble Model to Predict Credit Card Fraud Detection Using Random Forest and Generative Adversarialves the accuracy of the credit card fraud detection rate further by designing an ensemble model by considering the random forest and generative adversarial networks. Extensive experiments show that the proposed technique outperforms the existing techniques.

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Bangla Handwritten Math Recognition and Simplification Using Convolutional Neural Network handwritten math simplification; it has been done really good job. In the fields of the state of the art, contributions in Bangla languages are still very low. Developing an automatic math equation solver has been a desire of the researchers who worked in the field of NLP for many years.

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Semantics Exploration for Automatic Bangla Speech Recognitiontic Speech Recognition in Bangla. Our proposed methodology there used MFCC ‘for feature extraction, RNN ’ for training dataset. This proposed model we trained a LSTM model to know the most possible phonemes. Our proposed model get 20% error rate in word detection on Bangla-Word from audio dataset.

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2194-5357 erves as a reference resource for researchers and practitionThis book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020.

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Conference proceedings 2021020) held at the University of Engineering & Management, Kolkata, India, during July 2020. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-prog