Efficient Evaluation of Queries with Mining Predicates by Chaudhuri, Narasayya, and Sarawagi CSci 8701 Group G07 Charles Braxmeier Problem Statement Find more ...
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.
Example Query: Find fans who went to a Minnesota hockey game ... Na ve Bayes Classifiers. Bottom-up. Top-Down. Key Concepts (cont'd.) Mining Model (continued) ...
... 1) and ? (0 ? ) define the degree to which the workload 'influences' the query distribution. ... Consider a population, i.e. a set of numbers R = {y1,.,yn} ...
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 ...
Black-Box U2: Given relation R with n tuples, generate an unweighted WR sample of size r. ... 3. Use r invocations of Black-Box U1 or U2 to sample r sample, one ...
Motivated by massive/streaming data applications. Game Plan ... Possibly from disk, streamed via Linear Scan. Model. Stream at each step can request next input value ...
Bitmap Algorithms for Counting Active Flows on High Speed Links Cristian Estan, George Varghese, Mike Fisk Computer Science and Engineering Department,
Relation (ROLAP) Representation. Joint data distribution can be very sparse! ... Store histograms as relations in a SQL database and define a histogram algebra ...
A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries ... number of regions R1, R2, ..., Rr such that for any region Rj, each query in W ...
Overcoming Limitations of Sampling for Aggregation ... Weighted sampling based on workload information ... Unbiased estimator. Actual sum. Standard error ...
Let yj(Yj) be the average (sum) of the aggregate column values of all records in ... region is small, each value within the region can be approximated as simply yj. ...
APPROXIMATE QUERY PROCESSING IN DATABASES By: Jatinder Paul Introduction Decision Support Systems (DSS) What is Approximate Query Processing ? AQP Keeping query ...
Best case we are left with at most 5 matching elements beyond the elements in the sketch ... list per q-gram in D and compute the minhash sketch of each list: ...
New Applications data input as continuous, ordered data streams ... Mine patterns, process queries and compute statistics on data streams in real-time ...
What is a Sketch. An approximate representation of the string ... Clustering - Sepia. Partition strings using clustering: Enables pruning of whole clusters ...
Emerging DSMS variety of modern applications. Network monitoring and traffic engineering ... Possibly in adaptive/randomized fashion. Theorem: For any , E ...
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 ...
For a given relation R and workload W, consider partitioning the records in R ... i.e. Consider a relation R (with aggregate column C) containing nine records ...