Probabilistic counting algorithms for data base applications
Journal of Computer and System Sciences
Fibonacci heaps and their uses in improved network optimization algorithms
Journal of the ACM (JACM)
Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
Randomized distributed shortest paths algorithms
STOC '89 Proceedings of the twenty-first annual ACM symposium on Theory of computing
Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Size-estimation framework with applications to transitive closure and reachability
Journal of Computer and System Sciences
Approximate medians and other quantiles in one pass and with limited memory
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
A small approximately min-wise independent family of hash functions
Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms
Influence sets based on reverse nearest neighbor queries
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Min-wise independent permutations
Journal of Computer and System Sciences - 30th annual ACM symposium on theory of computing
Space-efficient online computation of quantile summaries
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Estimating simple functions on the union of data streams
Proceedings of the thirteenth annual ACM symposium on Parallel algorithms and architectures
Spatial gossip and resource location protocols
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Distributed streams algorithms for sliding windows
Proceedings of the fourteenth annual ACM symposium on Parallel algorithms and architectures
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Maintaining Stream Statistics over Sliding Windows
SIAM Journal on Computing
Protocols and Impossibility Results for Gossip-Based Communication Mechanisms
FOCS '02 Proceedings of the 43rd Symposium on Foundations of Computer Science
Counting Distinct Elements in a Data Stream
RANDOM '02 Proceedings of the 6th International Workshop on Randomization and Approximation Techniques
Maintaining time-decaying stream aggregates
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
An Approximate L1-Difference Algorithm for Massive Data Streams
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Stable distributions, pseudorandom generators, embeddings and data stream computation
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
Cache-and-query for wide area sensor databases
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Poster abstract: spatial average of a continuous physical process in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Continuously Maintaining Quantile Summaries of the Most Recent N Elements over a Data Stream
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Efficient estimation algorithms for neighborhood variance and other moments
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
TAG: a Tiny AGgregation service for Ad-Hoc sensor networks
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Approximate frequency counts over data streams
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Reverse nearest neighbor aggregates over data streams
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Bottom-k sketches: better and more efficient estimation of aggregates
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Sketching unaggregated data streams for subpopulation-size queries
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Summarizing data using bottom-k sketches
Proceedings of the twenty-sixth annual ACM symposium on Principles of distributed computing
Efficiently answering top-k typicality queries on large databases
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Efficient distributed approximation algorithms via probabilistic tree embeddings
Proceedings of the twenty-seventh ACM symposium on Principles of distributed computing
Tighter estimation using bottom k sketches
Proceedings of the VLDB Endowment
Top-k typicality queries and efficient query answering methods on large databases
The VLDB Journal — The International Journal on Very Large Data Bases
Leveraging discarded samples for tighter estimation of multiple-set aggregates
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
Coordinated weighted sampling for estimating aggregates over multiple weight assignments
Proceedings of the VLDB Endowment
Time-decaying Sketches for Robust Aggregation of Sensor Data
SIAM Journal on Computing
A comparison of three algorithms for approximating the distance distribution in real-world graphs
TAPAS'11 Proceedings of the First international ICST conference on Theory and practice of algorithms in (computer) systems
Scalable similarity estimation in social networks: closeness, node labels, and random edge lengths
Proceedings of the first ACM conference on Online social networks
Call me maybe: understanding nature and risks of sharing mobile numbers on online social networks
Proceedings of the first ACM conference on Online social networks
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Data items are often associated with a location in which they are present or collected, and their relevance or influence decays with their distance. Aggregate values over such data thus depend on the observing location, where the weight given to each item depends on its distance from that location. We term such aggregation spatially-decaying. Spatially-decaying aggregation has numerous applications: Individual sensor nodes collect readings of an environmental parameter such as contamination level or parking spot availability; the nodes then communicate to integrate their readings so that each location obtains contamination level or parking availability in its neighborhood. Nodes in a p2p network could use a summary of content and properties of nodes in their neighborhood in order to guide search. In graphical databases such as Web hyperlink structure, properties such as subject of pages that can reach or be reached from a page using link traversals provide information on the page. We formalize the notion of spatially-decaying aggregation and develop efficient algorithms for fundamental aggregation functions, including sums and averages, random sampling, heavy hitters, quantiles, and L"p norms.