It would be a useful application to have that can provide visualizations on the characteristic habits of people over the web and how they change over time. In process, one can develop a sense of deduction and conduct sophisticated behavior analysis. Understand people and how social phenomena develops on the web can provide cues to predicting future intents in any given topical constraint of interest. The versatility of such an application would also not be intrusive but assistive to providing better all-round optimized services on web. Underlining habits define the core ideals of what develops into current tastes, trends, and interests of individuals or of particular groups of communities. It is an almost graphical depiction in sociology of the web. Visualizations often tell more than what words could ever foretell almost defining and exposing hidden facts. Even the domains can be contextualized to provide further focus points.
16 March 2014
Visualizing Changes In Habits
Labels:
big data
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data science
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intelligent web
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machine learning
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predictive analytics
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semantic web