[PDF] Top 20 A Survey of Big Data – Challenges, on Characteristics and Concepts

... of data — so much that 90% of the data on the planet today has been made over the most recent two years ...This data originates from all around: sensors used to assemble atmosphere data, ... See full document

... imperfect data through an informa- tion fusion process when under uncertainty ...statistical characteristics of the input data ...approach, concepts are described by two approximations (upper ... See full document

... of data from diverse fields like health care, scientific sensors, user-generated data, Internet, supply chain systems and financial companies over last few ...years. Data becomes a powerful raw ... See full document

... Big data is a term defining collection of large ...the characteristics and challenges of big data in which the process is to extract the information from large sets of big ... See full document

... The data on these devices change according to the device, and can be unstructured, structured or ...the data from different digital devices ...when data from a variety of devices is combined. Also ... See full document

... Its purpose is to select or extract optimal subset of relevant features for a criteria already fixed. The selection of this subset of features can eliminate irrelevant and redundant information according to the ... See full document

... for data. Even though big data doesn't refer to any particular data, so this buss word is frequently utilized when talking about of ...information. Big data is a sound used to ... See full document

... transmit data over existing power ...some challenges such as limited data rates due to attenuation, delay and replication of the ...limited data rate that has reached more than 200 Mbps ... See full document

... how data are generated in huge volume which is termed as “big data” which contains diverse, and complex datasets from various heterogeneous and/or distributed data sources, including sensors, ... See full document

... Internet has restructured global interrelations, the art of businesses, cultural revolutions and an unbelievable number of personal characteristics. Currently, machines are getting in on the act to control ... See full document

... analyze data sets of potentially gargantuan size can overshadow the practical steps needed to seamlessly provision data to the big data ...of data access, movement, and loading are only ... See full document

... When data are stored in a series, there appear problems in memory use and adding/extracting ...the data structures that are called as "connective lists" are created by storing the information ... See full document

... in data generation as a result data management has become increasingly ...term Big Data is coined for large scale of data, which contains information including audio and video ...As ... See full document

... to Big Data in order to identify their use within organizations of the software ...the characteristics of the companies are presented in Table ...the data from July 9th to August 3rd, ...of ... See full document

... parallel data processing because of its salient features such as scalability, flexibility and fault ...and challenges. In this survey paper, our focus was on the extended Map Reduce framework with ... See full document

... literature survey traces the course of Big Data from its initiation to the present ...the concepts of big data, its applications and popular tools to deal with Big ...the ... See full document

... the data generated in a preceding couple of years ...of data can store by a single digital computer, hence about twenty (20) billion Computers would need to hold the entire world’s ...graphical data ... See full document

... patient characteristics and calculates cost and outcomes of care using Big Data Analytics to identify the most clinical and cost effective treatment for the betterment of the ...changes. Big ... See full document

... of big data analytics differ with the stakeholders. As this big data analysis is the next frontier for innovation and advancement of technology, one should not underestimate the impact of it ... See full document

... large data sets across clusters of computers using simple programming ...of data which could be structured, unstructured or semi structured, using commodity hardware, that is, relatively inexpensive ... See full document