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

ACRO

书目名称Big Data Innovations and Applications影响因子(影响力)




书目名称Big Data Innovations and Applications影响因子(影响力)学科排名




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书目名称Big Data Innovations and Applications网络公开度学科排名




书目名称Big Data Innovations and Applications被引频次




书目名称Big Data Innovations and Applications被引频次学科排名




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书目名称Big Data Innovations and Applications年度引用学科排名




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书目名称Big Data Innovations and Applications读者反馈学科排名

ureter

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

冷峻

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

极端的正确性

忍耐

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

WAIL

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

垄断

Fatten

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,

CHARM

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

habitat