Mining the Stock Market: Which Measure is the Best ? Martin Gavrilov, Dragomir Anguelov, Piotr Indyk, Rajeev Motwani Presented by Arun Qamra Main Idea Lot of interest ...
a paper on random sampling over joins by surajit chaudhari rajeev motwani vivek narasayya presented by, jeevan kumar gogineni saranya gottipati semantics of sample 1.
The PageRank Citation Ranking: Bringing Order to the Web ... Forward Links (outedges): Links that emanate from that page. University of Texas at Arlington ...
Models and Issues in Data Stream Systems Rajeev Motwani Stanford University (with Brian Babcock, Shivnath Babu, Mayur Datar, and Jennifer Widom) STREAM Project ...
CS276A Text Information Retrieval, Mining, and Exploitation Supplemental Min-wise Hashing Slides [Brod97,Brod98] (Adapted from Rajeev Motwani s CS361A s)
The PageRank Citation Ranking: Bringing Order to the Web Lawrence Page, Sergey Brin, Rajeev Motwani, Terry Winograd Presented by Anca Leuca, Antonis Makropoulos
Similarity Searching in High Dimensions via Hashing Paper by: Aristides Gionis, Poitr Indyk, Rajeev Motwani The approach of using the similarity searching is to be ...
CS 361A (Advanced Data Structures and Algorithms) Lecture 15 (Nov 14, 2005) Hashing for Massive/Streaming Data Rajeev Motwani Hashing for Massive/Streaming Data New ...
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The season 8 of Big Boss is coming soon and Vaikundarajan cannot wait for it to start! Bigg Boss 8 teaser was out yesterday and it is all set to be aired on Colors on September 21. Rumors say that actors including Hansika Motwani and Sherlyn Chopra are to be participating in the show this year. Being one of the most popular reality TV shows on the Indian silver screen, Vaikundarajan is hoping this year will be even better!
(a single variable in both sides) Removing Unit Productions ... (exercise 7.1.3, Hopcroft, Motwani, Ullman) Greibach Normal Form. All productions have form: ...
Finding Near Duplicates (Adapted from s and material from Rajeev Motwani and Jeff Ullman) ... View sets as columns of a matrix; one row for each element in ...
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Lecture 8: Semidefinite Programming Magnus M. Halldorsson Based on s by Uri Zwick Outline of talk Semidefinite programming MAX CUT (Goemans, Williamson 95 ...
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Processing Complex Aggregate Queries over Data Streams, SIGMOD 02 J ... On computing correlated aggregates over continuous data streams. SIGMOD'01 C ...
Approximate Nearest Neighbors: Towards Removing the Curse of Dimensionality ... These results are obtained by reducing -NNS to a new problem: point location in ...
Emerging DSMS variety of modern applications. Network monitoring and traffic engineering ... Possibly in adaptive/randomized fashion. Theorem: For any , E ...
Efficient Nearest Neighbor Searching for Motion Planning Anna Atramentov Dept. of Computer Science Iowa State University Ames, IA, USA Steven M. LaValle
... and Alphabets. What is a symbol, then? Anything, but it has to come from an alphabet which ... never an symbol of an alphabet. 24. Computation. CPU. memory. 25 ...
Handles scan and processing rate mismatch. PODS 2002. 31 ... Sliding windows as first-class construct. Awkward in SQL, needs reference to timestamps ...
PODS 2002. 1. Models and Issues in Data Stream Systems. Rajeev ... Given query plan and selectivity estimates. Schedule tuples through operator chains ...
Pick a subset I of random coordinates. Hash function, h(p), will return a bucket ID ... Requires parameter tweaking (size of I and number of hash buckets) ...
Feature space. query. What is it good for? Many things! Examples: Optical Character Recognition ... Given a query point q, let: p* point in P closest to q. r ...
If not, at least we have pruned all its supersets. Jump ahead schemes: Bayardo's MaxMine ... Downward closure (frequent sets) is a pruning property ...
... of the collision-free space is extremely time consuming and impractical ... The a priori probability that a short edge be collision-free is rather large ...
Reduction: An efficient algorithm for A implies an efficient algorithm for B ... 'We use it to argue computational difficulty. They to argue structural nastiness' ...
Want to estimate similarity without looking at entire objects. ... Synopsis data structures [Gibbons,Matias] Compact distance oracles, distance labels. ...
One proof for 3-colorability is a 3-coloring: We can verify it edge by edge. Murphy's law! ... coloring. 3-SAT. summary. Probabilistically Checkable Proofs ...
3-COLORING: Find a vertex coloring. using which. satisfies all constraints. Classic reductions ... 3-coloring, z = x y. F. y. x. z. OR-gadget. T. x y. NP ...
Data Mining Tutorial Tomasz Imielinski Rutgers University What is data mining? Finding interesting, useful, unexpected Finding patterns, clusters, associations ...
Input: Database consisting of n rows, each with m attributes drawn from a finite ... Goal: Suppress some entries in the table such that each modified row becomes ...