[Datasciencecentral] BigDataFr recommends: Quantitative Alienation in the Workplace

BigDataFr recommends: Quantitative Alienation in the Workplace […] For my graduate paper, I studied perceptions of workplace stress through the critical lens of social disablement. Writing this paper was certainly an intellectual exercise that at the time didn’t seem to have many practical applications. I am therefore honoured to become better acquainted with the “mechanics” […]

[arXiv] BigDataFr recommends: Collaborative Anomaly Detection Framework for handling Big Data of Cloud Computing

BigDataFr recommends: Collaborative Anomaly Detection Framework for handling Big Data of Cloud Computing […] Subjects: Cryptography and Security (cs.CR) With the ubiquitous computing of providing services and applications at anywhere and anytime, cloud computing is the best option as it offers flexible and pay-per-use based services to its customers. Nevertheless, security and privacy are the […]

[arXiv] BigDataFr recommends: Distributed Spatial Data Clustering as a New Approach for Big Data Analysis

BigDataFr recommends: Distributed Spatial Data Clustering as a New Approach for Big Data Analysis […] Subjects: Distributed, Parallel, and Cluster Computing (cs.DC) In this paper we propose a new approach for Big Data mining and analysis. This new approach works well on distributed datasets and deals with data clustering task of the analysis. The approach […]

[Datasciencecentral] BigDataFr recommends: How will Artificial Intelligence affect Your career?

BigDataFr recommends: How will Artificial Intelligence affect Your career? […] We have long been used to manual work being automated. We are finally at a juncture where even knowledge work is starting to see the same fate. Weren’t engineering, medicine and law supposed to be future-proof careers? For example, the world’s largest hedge fund Bridgewater […]

[arXiv] BigDataFr recommends: Communication Efficient Checking of Big Data Operations

BigDataFr recommends: Communication Efficient Checking of Big Data Operations […] Subjects: Data Structures and Algorithms (cs.DS); Distributed, Parallel, and Cluster Computing (cs.DC) We propose fast probabilistic algorithms with low (i.e., sublinear in the input size) communication volume to check the correctness of operations in Big Data processing frameworks and distributed databases. Our checkers cover many […]

[arXiv] BigDataFr recommends: Games and Big Data: A Scalable Multi-Dimensional Churn Prediction Model

BigDataFr recommends: Games and Big Data: Games and Big Data: A Scalable Multi-Dimensional Churn Prediction Model […] Subjects: Machine Learning (stat.ML) The emergence of mobile games has caused a paradigm shift in the video-game industry. Game developers now have at their disposal a plethora of information on their players, and thus can take advantage of […]