Stream analytics on the fly: Beyond parameters!

Blog post of the day: Early detection of trends in twitter streams

Generally model driven approaches are employed for analyzing data streams. This is mostly pattern oriented or parametric. Hence it will be looking for specific occurrences for distinct patterns and predefined models. What if a data driven approach can perform well? Stanislav Nikolov writes about this in his blog on computational amusements. In his approach, the weight of each vote depends on the similarity, or distance between the example and the observation according to a decaying exponential. Read more at  Early detection of twitter trends: 


Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s


A great site

Scholarly Open Access

Critical analysis of scholarly open-access publishing


©SirMwangi 2017, All Rights Reserved

My Pain, My Life, My Struggles, My Fight

Come walk with me, Down My Dark & Stormy Journey BUSINESS INQUIRIES & CONTACT EMAIL : GODSCHILD4048@GMAIL.COM

Grady P Brown - Author

Superheroes - Autism - Fantasy - Science Fiction

Communicating Science in the Global Village

Engaging 21st century learners


A great site

Plutonium™ Paint

Ultra Supreme Professional Grade Aerosol Paint

%d bloggers like this: