Big Data explains the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. Big data challenges include capturing data, data storage, data analysis, sharing, transfer, visualization, querying, updating and information privacy. Data sets grow rapidly-in part because they are increasingly gathered by numerous information-sensing Internet of things devices such as mobile devices, aerial (remote sensing), software logs, cameras, microphones, radio-frequency identification (RFID) readers and wireless sensor networks.
Related Big data Journals:
Journal of Informatics and Data Mining, International Journal of Biomedical Data Mining, Journal of Data Mining in Genomics & Proteomics, International Journal of Sensor Networks and Data Communications