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Titlebook: Big Data Innovations and Applications; 5th International Co Muhammad Younas,Irfan Awan,Salima Benbernou Conference proceedings 2019 Springe

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發(fā)表于 2025-3-21 18:43:36 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Big Data Innovations and Applications
期刊簡稱5th International Co
影響因子2023Muhammad Younas,Irfan Awan,Salima Benbernou
視頻videohttp://file.papertrans.cn/186/185644/185644.mp4
學科分類Communications in Computer and Information Science
圖書封面Titlebook: Big Data Innovations and Applications; 5th International Co Muhammad Younas,Irfan Awan,Salima Benbernou Conference proceedings 2019 Springe
影響因子.This volume constitutes the refereed proceedings of the 5th International Conference on Big Data Innovations and Applications, Innovate-Data 2019, held in Istanbul, Turkey, in August 2019..The 15 revised full papers and 1 short paper presented in this volume were carefully reviewed and selected from 48 submissions. The papers are organized in topical sections on advances in big data systems; machine learning and data analytics; big data innovation and applications; security and risk analysis..
Pindex Conference proceedings 2019
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MapReduce Join Across Geo-Distributed Data Centersning fast and accurate analyses on Big Data. The strength of MapReduce is its capability of exploiting the computing power of a cluster of resources, by distributing the load on multiple computing units, and of scaling with the number of computing units. Today many data analysis algorithms are avail
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Mobile Device Identification via User Behavior Analysisations utilize the sensing capability of these devices for various purposes, such as human activity recognition, health coaching or advertising, etc. Identifying devices and authenticating unique users is another application area where mobile device sensors can be utilized to ensure more intelligent
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TSWNN+: Check-in Prediction Based on Deep Learning and Factorization Machinensively studied. However, most of the existing research is to predict the next POI for a user. In this paper, we consider a new research problem, which is to predict the number of users visiting the POI during a particular time period. In this work, we extend the TSWNN model structure and propose a
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發(fā)表于 2025-3-22 15:57:06 | 只看該作者
Deep Learning Based Sentiment Analysis on Product Reviews on Twitterain opinions or reviews towards a particular entity. The identification of sentiment can be useful for individual decision makers, business organizations and governments. Sentiment analysis is an important research direction. Deep learning is a recent research direction in machine learning, which bu
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Satire Detection in Turkish News Articles: A Machine Learning Approachatforms. Much of the online content contains elements of figurative language, such as, irony, sarcasm and satire. The automatic identification of figurative language can be viewed as a challenging task in natural language processing, where linguistic entities, such as, metaphor, analogy, ambiguity,
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Committee of the SGTM Neural-Like Structures with Extended Inputs for Predictive Analytics in Insura task’s accuracy. The division of the dataset into segments using dichotomy approach are performed in accordance with the developed algorithm. Both the Kolmogorov-Gabor polynomial and the neural-like structures of the Successive Geometric Transformation Model are proposed for the division and for th
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