Search Results for 'set queries'

set queries published presentations and documents on DocSlides.

Efficient Evaluation of k-Range Nearest Neighbor Queries in
Efficient Evaluation of k-Range Nearest Neighbor Queries in
by phoebe-click
Jie Bao Chi-Yin Chow Mohamed F. Mokbel. Departmen...
Entangled Queries :Enabling Declarative Data Driven Coordin
Entangled Queries :Enabling Declarative Data Driven Coordin
by lindy-dunigan
Johannes . Gehrke. Department . of Compute...
“Here is my data. Where do I start?”
“Here is my data. Where do I start?”
by stefany-barnette
Examples . of Ad Hoc . Databases. Automatic Exa...
CPSC 455/
CPSC 455/
by mitsue-stanley
555. Combinatorial Auctions, Continued…. Shaili...
1 A FAIR ASSIGNMENT FOR MULTIPLE PREFERENCE QUERIES
1 A FAIR ASSIGNMENT FOR MULTIPLE PREFERENCE QUERIES
by aaron
Leong Hou U, Nikos . Mamoulis. , Kyriakos Mourati...
Discovering Queries based on
Discovering Queries based on
by jaena
Example Tuples. Slides by Uri Berger. Based on Pap...
Sensitivity Analysis  &
Sensitivity Analysis &
by isabella2
Explanations. for Robust . Query Evaluation . in ...
CS573 Data Privacy and Security
CS573 Data Privacy and Security
by rodriguez
Statistical Databases. Li . Xiong. Today. Statisti...
Top- k  Queries on Uncertain Data
Top- k Queries on Uncertain Data
by marina-yarberry
指導教授:陳良弼 老師. 報告者:鄧�...
Range Median Data Structure
Range Median Data Structure
by trish-goza
Batched. Range Median. Extensions. Maintain a. ...
Embedded Database Benchmark
Embedded Database Benchmark
by lindy-dunigan
Team . CodeBlooded. Internet of Things. “As the...
John P. John
John P. John
by liane-varnes
Fang Yu. Yinglian. . Xie. Martín. . Abadi. Arv...
John P. John
John P. John
by pamella-moone
Fang Yu. Yinglian. . Xie. Martín. . Abadi. Arv...
Hereditary Discrepancy  &
Hereditary Discrepancy &
by miller
Factorization Norms. Sasho. . Nikolov. (U of Tor...
Dynamic Input with SQL Queries
Dynamic Input with SQL Queries
by roy
A look into the options of dynamic SQL queries and...
CPSC 455/ 555 Combinatorial Auctions, Continued…
CPSC 455/ 555 Combinatorial Auctions, Continued…
by eddey
Shaili Jain. September 29, 2011. Combinatorial Auc...
Redis:~ Data Structure server
Redis:~ Data Structure server
by pasty-toler
http://tyagibhai.com. Author. . Anil Sharma. Wha...
Non-Adaptive Data Structure Bounds for Dynamic Predecessor
Non-Adaptive Data Structure Bounds for Dynamic Predecessor
by tawny-fly
Joe . Boninger. , . Joshua Brody. , Owen . Kephar...
Collective Spatial Keyword Queries: A Distance Owner-Driven Approach
Collective Spatial Keyword Queries: A Distance Owner-Driven Approach
by myesha-ticknor
Cheng Long, Raymond Chi-Wing Wong. : The Hong Kon...
Query-Based Outlier Detection in Heterogeneous Information
Query-Based Outlier Detection in Heterogeneous Information
by calandra-battersby
Jonathan Kuck. 1. , . Honglei. Zhuang. 1. , . Xi...
Collective Spatial Keyword Queries: A Distance Owner-Driven
Collective Spatial Keyword Queries: A Distance Owner-Driven
by phoebe-click
Cheng Long, Raymond Chi-Wing Wong. : The Hong Kon...
AP-Tree: Efficiently Support Continuous
AP-Tree: Efficiently Support Continuous
by ellena-manuel
Spatial-Keyword Queries Over Stream. Xiang Wang. ...
1 k-anonymity in Graphs
1 k-anonymity in Graphs
by giovanna-bartolotta
2. Methods based on k-anonymity. k-candidate. k...
Brief Announcement
Brief Announcement
by lois-ondreau
: Using . Multi-Level . Parallelism and . 2-3 Cuc...
Module 7
Module 7
by pasty-toler
Designing Queries for . Optimal Performance. Modu...
Orthogonal Range Searching and Range Trees
Orthogonal Range Searching and Range Trees
by alexa-scheidler
Computational Geometry (EECS 396/496) – October...
Swarup   Acharya   Phillip
Swarup Acharya Phillip
by jane-oiler
B. Gibbons . Viswanath. . Poosala. . Sridhar . ...
On Minimal Assumptions for Sender-Deniable Public Key Encryption
On Minimal Assumptions for Sender-Deniable Public Key Encryption
by myesha-ticknor
Dana . Dachman. -Soled. University of Maryland. D...
Use of data review software for data management
Use of data review software for data management
by myesha-ticknor
ICTMC, . 10. th. . May 2017. Leona Batten. ,. D...
Differential Privacy:  What, Why and When
Differential Privacy: What, Why and When
by sherrill-nordquist
Moni. Naor. Weizmann Institute of Science. The B...
Automated Selection of Materialized Views and Indexes for SQL Databases
Automated Selection of Materialized Views and Indexes for SQL Databases
by pasty-toler
Sanjay . Agrawal. . Surajit. . Chaudhuri. ...
More Advanced
More Advanced
by christina
Webi Techniques from the Jedi Academy Alan Mayer ...
SCOPE   Easy and Efficient Parallel Processing of Massive Data Sets
SCOPE Easy and Efficient Parallel Processing of Massive Data Sets
by adah
Adapted from a talk by. : . Sapna. Jain & R. ...
Understanding SQL Statements
Understanding SQL Statements
by zoe
Introduction to PHP and MySQL (Creating Database-D...
Chapter  8 Evaluating Search Engine
Chapter 8 Evaluating Search Engine
by christina
Evaluation. Evaluation is key to building . effect...
1 k-anonymity in Graphs 2
1 k-anonymity in Graphs 2
by felicity
Methods based on k-anonymity. k-candidate. k-deg...
http://www.flickr.com/photos/30686429@N07/3953914015/in/set-72157622330082619/
http://www.flickr.com/photos/30686429@N07/3953914015/in/set-72157622330082619/
by harmony
Web basics. David . Kauchak. cs458. Fall . 2012. a...
Data Intensive and Cloud Computing
Data Intensive and Cloud Computing
by thomas
Data . Streams. Slides . based on Chapter 4 . in M...
Query Language Constructs for Provenance
Query Language Constructs for Provenance
by mitsue-stanley
Murali. Mani, . Mohamad. . Alawa. , . Arunlal. ...
Webes
Webes
by sherrill-nordquist
. keresés. What is web search?. Access to . “...