Titlebook: Data Management, Analytics and Innovation; Proceedings of ICDMA Neha Sharma,Amlan Chakrabarti,Valentina Emilia Bal Conference proceedings 2

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2194-5357 nd solutions for future development.Offers a valuable refereThis book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics a

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Mohamed A. Aref,Sudharman K. Jayaweeraescriptor which is compared to an automatically generated global threshold for evaluation of the scene change detection. The proposed framework is tested on few publicly available videos and TRECVid dataset. The encouraging results are in favor of the credibility of the proposed framework.

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Sequence Mining-Based Support Vector Machine with Decision Tree Approach for Efficient Time Series Dm-based Support Vector Machine with Decision Tree algorithm (SM-SVM with DT) for efficient time series analysis. In this proposed work, the larger size of the dataset is considered along with huge number of attributes. The preprocessing is performed using Kalman filtering. The hybrid segmentation me

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Identifying Phishing Through Web Content and Addressed Bar-Based Features considered as phishing as well as those that match the research work. To verify the efficiency of the system, a dataset comprising of phishing websites was downloaded from the popular phishing sites. To start with, a total number of 110 Universal Resource Locators (URLs) considered to be phishing w

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A Unified Framework for Outfit Design and Advicerototype of an aspect of the framework has also been implemented as proof of concept. We believe that this framework can be leveraged by online fashion stores to better serve their customers and can also be implemented as a mobile app to give suitable advice to its end users.

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Contextual Relevance of ICT-CALL Modules and Its Role in Promoting Employability Skills Among Engineaiming to meet the objectives of the study, and this study is confined to the data collected from the 30 engineering students from one of the technology institutes in the state of Chhattisgarh in India.

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A Generalized Ensemble Machine Learning Approach for Landslide Susceptibility Modelingation, overburden, aspect, curvature, catchment area, drainage density, distance to water streams, soil, bedrock condition, lithology and rainfall prepared by surveying, remote sensing, and deriving from Digital Elevation Model (DEM) were utilized in building the spatial database. Importantly, this

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Floating Car Data Map-Matching Utilizing the Dijkstra’s Algorithmts are very short and can be passed by a car in the shorter interval. Such segments are therefore very difficult to monitor. We plan to solve all these problems through a combination of geometric map-matching with the Dijkstra’s shortest path algorithm.