[PDF] Top 20 Big data analytics: a survey

... the data from the transaction data of large shopping ...scale data were studied for several years, such as FP-tree [32] using the tree structure to include the frequent patterns to further reduce the ... See full document

... top big data analytic tools, although not the whole list of existing tools that cannot be ...source big data analytics tool, the remaining twenty-six(26) are licensed commercial ... See full document

... Big data analytics has gained wide attention from both academia and industry as the demand for understanding trends in massive datasets ...of data (including health care, social media, smart ... See full document

... The data holder may encrypt the data before releasing the same for ...scale data using conventional encryption techniques is highly difficult and must be applied only during data collection ... See full document

... Big data analytics [10] is the process of examine the large data sets containing a variety of data ...of analytics is to improve the business by gaining information. Data ... See full document

... increasingly data-driven as well as conducted in large collaborative partnerships involving researchers, instruments and high performance computing ...of data that is likely to be shared and analyzed by ... See full document

... FPGAs were initially introduced more than two decades ago, and since then, have grown rapidly and gained more popularity in digital circuits. Technological advancements have greatly strengthened the logic capacity of ... See full document

... Key-value pairs constitute the basic data structure in MapReduce. J. Feldmanet.al in their edition of 2008 gave a brief description about the keys and values, where it was stated that Keys and values may be ... See full document

... Big data analytics can support the efforts in the subject of network anomaly and intrusion ...NetFlows data embedded in the raw data stream into 1 min ...and data standardization ... See full document

... A quantum computer has memory that is exponentially larger than its physical size and can manipulate an exponential set of inputs simultaneously. This exponential improvementin computer systems might be possible. If a ... See full document

... of data be it structured, semi- structured or unstructured is regenerated which in today’s generation is called Big ...this data belongs to the healthcare center which is a very imperative aspect in ... See full document

... scalability, data I/O performance, fault tolerance, real-time processing, data size support and the sup- port for iterative ...to big data ... See full document

... C5.0 is the classification algorithm which is applicable for big data sets. It overcomes C4.5 on the speed, memory and the performance. C5.0 method works by splitting the sample based on the field that ... See full document

... Another challenge with huge information analysis is attributed to diversity of information. with the ever growing of datasets, data processing tasks has considerably accumulated. to boot information reduction, ... See full document

... of data (multitier byte data-sets), on large clusters (thousands of nodes) of commodity hardware in a reliable, fault-tolerant ...of data and converts it into another set of data, where ... See full document

... of big data on corporate ...of big data capital and ...of big data resides in the close complementarily between big data IT investment and labour ...their ... See full document

... of big data ...of analytics the intelligent employee may create or to change a specific direction to scoring model for their ...of analytics all parameters are selected by third type of ... See full document

... Text analytics (text mining) refers to techniques that extract information from textual ...forums, survey responses, corporate documents, news, and call center logs are examples of textual data held ... See full document

... encoded data in a standard format like XML, YAML, JSON or BSON (Binary JSON) and are univocally identified in the database by a unique ...semi-structured data represented as name-value pairs, which can vary ... See full document

... the data, Hadoop Map Reduce transfers packaged code for nodes to process in parallel, based on the data node needs to ...of data locality—nodes manipulating the data that they have on hand to ... See full document