Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Paramartha Dutta,Satyajit Chakrabarti,Celia Shahna Conf

商談

R. Nopour,M. M. Aghdam,A. Taghvaeipourideration the privacy risk and confidentiality loss observed if the data is shared. For secure sharing of data, a trust framework based on the user’s interest and interaction parameters is put forth. The proposed work can be extended to any data sharing multiuser platform.

埋伏

Fernando Corinto,Mauro Forti,Leon O. Chua mood detection model utilising face recognition. We applied Tf-Idf on a variety of classifiers, with a particular focus on the random forest classifier. For detection of the face, Haar cascade method was employed. The FER dataset was utilised to train the model using the MobileNet model.

triptans

天賦

Trust Based Resolving of Conflicts for Collaborative Data Sharing in Online Social Networksideration the privacy risk and confidentiality loss observed if the data is shared. For secure sharing of data, a trust framework based on the user’s interest and interaction parameters is put forth. The proposed work can be extended to any data sharing multiuser platform.

猛擊

Facial Recognition to Detect Mood and Play Songs Using Machine Intelligence mood detection model utilising face recognition. We applied Tf-Idf on a variety of classifiers, with a particular focus on the random forest classifier. For detection of the face, Haar cascade method was employed. The FER dataset was utilised to train the model using the MobileNet model.

badinage

Affirm

Developing Smart ML-Based Recommendation Systemng upon user choice with similar data. For this recommendation system, two techniques are used which are collaborative filtering and content-based filtering. Considering the issues for some users while searching, they can play music with help of a voice assistant.

impaction

Age, Gender, and Gesture Classification Using Open-Source Computer Visionder while providing the most probable age range of the concerned face and also detecting the gesture of the hands using convolutional neural network architecture. The principal idea behind the system is to compare the image with the reference images stored as templates in the database and to determine the age and gender.

gruelling

Sentiment Analysis in Airlines Industry Using Machine Learning Techniquesm them. To analyze these unstructured customer feedbacks at scale, machine learning is used. In this work we present a survey on various machine learning techniques that have been used in past eight years for analysis of tweets/comments related to airline industry.

先驅(qū)

Conference proceedings 20232022) held at Institute of Engineering & Management, Kolkata, India, during 23–25 February 2022.?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-i