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Showing 1 to 20 of 399 for “"Data analytics"”.
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Leading data analytics transformations
… companies founded with a strong emphasis on data, has epitomized the rise of the new "digital economy." Large traditional organizations, that were not long ago "on top of the world" are now at a crossroads. Their business models seem threatened by newcomers as they face pressure to …
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Data Analytics for Statistical Learning
The prevalence of big data has rapidly changed the usage and mechanisms of data analytics within organizations. Big data is a widely-used term without a clear definition. The difference between big data and traditional data can be characterized by four Vs: velocity (speed at which data is …
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Big data analytics strategy formulation: a case study of big data analytics organizations in South Africa
Storing data as big data in isolation lacks inherent value until it undergoes analysis to yield valuable insights. The main goal for organizations investing in big data analytics (BDA) for digital transformation is to enhance decision-making and generate organizational value. However, most …
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Smart Data Analytics for Manufacturing Processes
The increasing multitude of powerful data analytic tools in recent years has motivated the development of smart data analytics approaches, i.e. a decision tree based super algorithm that automatically selects the most suitable method based on a systematic interrogation of the dataset. This work …
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Natural Language Interfaces for Data Analytics
As more processes become data-driven, anyone should be able to gather insights into databases without needing to develop complex computer skills typically required for data analytics software. We propose to design new paradigms in which users rely on their own natural language to analyze and …
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Privacy Preserving Network Security Data Analytics
… is driven home by an incessant rhythm of data breaches, data leaks, and privacy exposure. History has shown that both public and private sector organizations are not immune to loss of control over data due to lax handling, incidental leakage, or adversarial breaches. Prudent organizations …
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Data-driven modeling and transportation data analytics
Data has become increasingly important in transportation research. Unfortunately, existing traffic models, though developed and practiced for decades, are not data driven and therefore inherently incapable of analyzing modern traffic data from multiple sources with different time resolution and …
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Spatiotemporal Big Data Analytics for Future Mobility
… witnessed the explosion of spatiotemporal big data (e.g. GPS trajectories, vehicle engine measurements, remote sensing imagery, and geotagged tweets) which has a potential to transform our societies. Terabytes of earth observation data are collected every day from thousands of places across the …
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Sequential Approaches to Three-Way Data Analytics
Data analytics is a process to discover useful information in data, draw valuable conclusions, and help users make wise decisions. In most occasions, the conclusions can be formally represented as decision rules in which the left-hand-sides describe conditions and the right-hand-sides give …
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