BigDataFr recommends: Data Mining for Predictive Social Network Analysis Social networks, in one form or another, have existed since people first began to interact. Indeed, put two or more people together and you have the foundation of a social network. It is therefore no surprise that, in today’s Internet-everywhere world, online social networks have become […]
Month: décembre 2015
[Datasciencecentral] BigDataFr recommends: Predicting the Future #datascientist
BigDataFr recommends: Predicting the Future TOne of the really fun aspects of being a data scientist is that we are called upon to predict the future. Frequently that means trying to predict who will buy, who will churn, what they will buy next, how much they will spend, all the sorts of questions that are […]
[arXiv] BigDataFr recommends: Privacy by design in big data: An overview of privacy enhancing technologies #datascientist
BigDataFr recommends: Privacy by design in big data: An overview of privacy enhancing technologies in the era of big data analytics The extensive collection and processing of personal information in big data analytics has given rise to serious privacy concerns, related to wide scale electronic surveillance, profiling, and disclosure of private data. To reap the […]
[Datasciencecentral] BigDataFr recommends: The Internet of Things is Really Only About One Thing
BigDataFr recommends: The Internet of Things is Really Only About One Thing The Internet of Things is really all about data. […]Big data is all about data, while the Internet of things involves data, devices, and connectivity, but in the end, they tend to come down to the same thing. And while many companies are […]
[arXiv] BigDataFr recommends: Scalable and Accurate Online Feature Selection for Big Data
BigDataFr recommends: Scalable and Accurate Online Feature Selection for Big Data Feature selection is important in many big data applications. There are at least two critical challenges. Firstly, in many applications, the dimensionality is extremely high, in millions, and keeps growing. Secondly, feature selection has to be highly scalable, preferably in an online manner such […]
[Datasciencecentral] BigDataFr recommends: Interview with Gideon Mann, Head of Data Science at Bloomberg #datascientist
BigDataFr recommends: Interview with Gideon Mann, Head of Data Science at Bloomberg Interview with Gideon Mann, Head of Data Science at Bloomberg, where he guides the strategic direction for machine learning, natural language processing, and search on the core terminal. He joined Bloomberg from Google Research. At Google, in addition to academic research, his team […]
[Data Science Central] BigDataFr recommends: The Role of Big Data Analytics in the Petabyte Age
BigDataFr recommends: The Role of Big Data Analytics in the Petabyte Age The data flood that you are witnessing every minute is trying to tell you hidden secrets about your business growth, are you listening? In the previous years, we may have taken a glass half empty perspective for the analytics sector but this definitely […]
[Datasciencecentral] BigDataFr recommends: Predictive Analytics in the Supply Chain
BigDataFr recommends: Predictive Analytics in the Supply Chain Predictive analytics are increasingly important to Supply Chain Management making the process more accurate, reliable, and at reduced cost. To be at the top of your game as a supply chain manager you need to understand and utilize advanced predictive analytics. As a large continuous process the […]