Truviso continuously analyzes massive volumes of dynamic information—providing comprehensive visibility and actionable insights for any event, opportunity or trend on-demand. Truviso empowers decision-makers with continuous:
Analysis - always-on, game-changing analytics of streaming data
Visibility - dynamic, web-based dashboards and on-demand applications
Action - extensible, data-driven actions and alerts
Truviso's approach is based on years of pioneering research, leveraging industry standards, so it's fast to implement, flexible to configure, and easy to modify as your needs change over time.
Map-Reduce is on its way out. But we shouldn’t measure its importance in the number of bytes it crunches, but the fundamental shift in data processing architectures it helped popularise.
Processing is an electronic sketchbook for developing ideas. It is a context for learning fundamentals of computer programming within the context of the electronic arts.
The development of the Internet in recent years has made it possible and useful to access many different information systems anywhere in the world to obtain information. While there is much research on the integration of heterogeneous information systems, most commercial systems stop short of the actual integration of available data. Data fusion is the process of fusing multiple records representing the same real-world object into a single, consistent, and clean representation.
From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures.
J. Zuo, C. Tang, C. Li, C. an Yuan, and A. long Chen. Advances in Web-Age Information Management: 5th
International Conference, WAIM 2004, volume 3129 of Lecture Notes in Computer Science, page 55--64. Dalian, China, Springer, (15-17 July 2004)