Finally, the paper lays out three grand challenges of big data processing and analysis, i.e., data complexity, computation complexity, and system complexity. Potential ways for dealing with each complexity are also discussed. 展开 关键词:
The invention discloses a big data situation analysis early warning method and system based on normal modes. The method includes the steps that a server collects samples from all terminals and divides the samples according to periods of time; sample data sets in each period of time are ...
Global dimensionality reduction algorithms: reducing the dimensions by retaining the principal components of the vectors of all the data, e.g., principal component analysis (PCA), independent component analysis (ICA), multi-dimensional scaling (MDS) etc; Local dimensionality reduction algorithms: same ...
Data analytics can also be separated into quantitative data analysis and qualitative data analysis. The former involves the analysis of numerical data with quantifiable variables. These variables can be compared or measured statistically. The qualitative approach is more interpretive, as it focuses on un...
3.9Big data analytics tools It is critical to select tools and software that will assure the greatest results when performing high-quality data analysis [46].Table 14depicted some of the most common types ofdata analysis tools. Table 14.Big data analytics tools. ...
The bottleneck of Big Data today is the analysis of large amounts of information, including data mining, inference and prediction. Entrepreneurship researchers who want to take advantage of Big Data, need tools and workflows to find important trends and patterns within massive data sets, and unders...
OLAP Analysis Spider Big Data Engine Scheduled Task Relation Model Self Dataset Chart/Table/Filter Component Mobile BI User Management Pricing: FineBI is free without time or feature limits for personal use. For enterprises, it offers a quote-based plan that charges according to different situatio...
The chi-square analysis revealed no systematic response bias. In addition to nonresponse, we also examine late-response bias by comparing early (first two weeks) and late responses (last two weeks) through chi-square tests for firm size, industry, expenditure, and firm experience with big data...
(2012) found that the definition of big data incorporated various dimensions including: greater scope of information; new kinds of data and analysis; real- time information; non-traditional forms of media data; new technology-driven data; a large volume of data; the latest buzz word; and ...
Big data and data management white papers: DBTA maintains this library of recent whitepapers on big data, business intelligence, and a wide-ranging number of other data management topics.