Benjamin Arancibia bcarancibia

Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
Models and Issues in Data Stream Systems
Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
[Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

	Value Added - Week 9 CUNY Bridge Courses

	The assignment for the Week 9 of the CUNY Bridge course was to take a dataset provided to the class and work as a team to perform an exploratory data analysis that compares the four datasets.

	The dataset we had to use is below.

	<a href = https://www.coursesites.com/bbcswebdav/pid-6348929-dt-content-rid-19116287_1/courses/IS-02/Assignment.jpg> </a>

	The exploratory data analysis proceed in an interesting manner that I don't think was expected by the administrators of the assignment. The data analysis began by graphing the data set and immediately recognizing that the dataset was very similar to the classical Anscombe's Quartet. Graphing the dataset was done in R and as noted in the discussion Anscombe's Quartet shows the failings of regression lines.