The Hardness of the lemmings Game, or Oh no, more NP-Completeness Proofs. Graham Cormode ... Lemmings was made originally in 1991 by DMA Design, a company for ...
Data Stream Algorithms Intro, Sampling, Entropy Graham Cormode graham@research.att.com Outline Introduction to Data Streams Motivating examples and applications Data ...
All you need to know about Chemotherapy. Lynne Cormode What is Chemotherapy? Systemic treatment against malignant cells to try and prevent growth, invasion ...
On Selection and Sorting with Limited Storage' Graham Cormode. Joint work with S. Muthukrishnan, Andrew McGregor, ... Estimate x[j] by taking mink CM[k,hk(j) ...
Comparing Two Strings. If X and Y are strings, how similar are they? ... Cormode, G., Muthukrishnan, S., 'The String Edit Distance Matching Problem with Moves' ...
Heavy Hitters Piotr Indyk MIT Last Few Lectures Recap (last few lectures) Update a vector x Maintain a linear sketch Can compute Lp norm of x (in zillion different ...
Lift. Global e-approximate sketch after lift. Merged e/2-approximate sketch ... sketch on (1- e/2)N data items, then lifting the sketch by eN/2 results in an e ...
Interpolate degree-k polynomial q(zj) = S1 zj. Output q(0) Multiplicative ... For what other problems can we use this 'generalize-then-interpolate' strategy? ...
Title: Fast Approximate Wavelet Tracking on Streams Author: dimitris Last modified by: dimitris Created Date: 3/19/2006 2:46:03 PM Document presentation format
Cleaning Uncertain Data for Top-k Queries Luyi Mo, Reynold Cheng, Xiang Li, David Cheung, Xuan Yang The University of Hong Kong {lymo, ckcheng, xli, dcheung, xyang2}@ ...
Publishing Set-Valued Data via Differential Privacy Rui Chen, Concordia University Noman Mohammed, Concordia University Benjamin C. M. Fung, Concordia University
ai in S ai. Example: S = 4, 5, 15, 4, 100, 4, 16, 15 ... 1m max1 i k ai,j. a. b. 8/26/09. IIT Kanpur Streams Workshop. 8. Reduction From Max Dominance Norm ...
Tracking the total number of cars on a highway. Thresholded Counts (cont'd) Two key properties ... Comparing Costs Static and Adaptive Cases. Related Work ...
... Threshold Computation of Threshold Computation of Threshold Comparison with Linear Programming Decoder Relation to Compressed Sensing Comparison ...
Reverse Hashing for High-speed Network Monitoring: Algorithms, Evaluation, and Applications Robert Schweller1, Zhichun Li1, Yan Chen1, Yan Gao1, Ashish Gupta1, Yin ...
Sliding-window Top-k Queries on Uncertain Streams ... returns the k most probable tuples of being the top-k among all. ... for all kinds of top-k queries, ...
Data is viewed as a passing stream (possibly infinite) ... Sun ULTRASPARC T1 & T2, Compaq Piranha. Fat Camp. Target maximum single thread performance ...
SURVEY-2: Babcock et al. 'Models and Issues in Data Stream Systems' ... Estimate A[j] by taking mink sketch[k,hk(j)] xi[j] xi[j] xi[j] xi[j] h1(j) hd(j) ...
Why Aren't Bloom Filters Taught in Algorithms 101 ? ... Can Bloom filters handle deletions? ... Bloom filters can handle insertions, but not deletions. ...
Structure solution in a manner amenable to standard optimizations: ... COMBINE: merge n quantile summaries into one. PRUNE: reduce number of entries in Q to B 1 ...
... 'velocity' & 'acceleration' vectors from recent local history ... World Cup 1998 HTTP requests, 4 distributed sites, about 14m updates per day. Explored ...
Title: Introduction to Management of Spatial Streams Author: Kostas Patroumpas Last modified by: timos sellis Created Date: 8/20/2004 7:37:17 AM Document presentation ...
count distinct in one shot model needs randomness. Else must send complete data. Querying ... One-Shot Distributed-Stream Querying. Tree Based Aggregation ...
New Applications data input as continuous, ordered data streams ... Mine patterns, process queries and compute statistics on data streams in real-time ...
Longest Increasing Subsequence. Anna Gal UT Austin. Parikshit Gopalan U. Washington ... LIS( ): Length of Longest Increasing Subsequence. 5 7 8 1 4 2 10 3 6 9 ...
1 Assumption: Servers are sorted l1 ln Counter number of clients for server i: C(i) - Lk [li, li+1) at the right side of server i C(0) at left side ...
To show 1/6 approx: Account for the weight of edges lost in terms of weight of ... Can we do better in distributed fashion? 2. How do we communicate to detect ...
The latest set of photos she has uploaded to Photobucket. She may update her LiveJouranl profile. ... She may visit YouTube to check out the latest posted videos ...
Typically poly-logarithmic in the size of data. Fast processing per item ... LSB(x): the number of consecutive 0's from the rightmost in x's binary expression. ...
Title: PowerPoint Presentation Author: eamonn Last modified by: eamonn Created Date: 1/1/1601 12:00:00 AM Document presentation format: On-screen Show (4:3)
Generate s in small (logN) space using pseudo-random generators ... Key Intuition: Use randomized linear projections of f() to define random variable X such that ...
Minos Garofalakis Johannes Gehrke Rajeev Rastogi. Bell Laboratories. Cornell University ... Performance measurements in network monitoring and traffic management ...
Minos Garofalakis Johannes Gehrke Rajeev Rastogi. Bell Laboratories ... an element, evict a random ... Evict each element (decrement count) from S with ...
Single Pass: Each record is examined at most once, in fixed ... Quantile estimation over streams [GKMS02] Distinct value estimation over streams [CDI02] ...