Data streams: algorithms and applications
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Summary
Data Streams: Algorithms and Applications surveys the emerging area of algorithms for processing data streams and associated applications, which rely on metric embeddings, pseudo-random computations, sparse approximation theory and communication complexity.
- Type
- article
- Published
- 2005-08-01
- Cited by
- 1,898
- References
- 238
- Access
- Open access
- OpenAlex
- https://openalex.org/W1995484833
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:145349
Keywords
STREAMS, Computer science, Algorithm, Data stream mining, Data mining
References
- The best m-term approximation and greedy algorithms
- The Gigascope Stream Database
- The art of computer programming, volume 3: (2nd ed.) sorting and searching
- Summarizing and Mining Skewed Data Streams
- Near optimality of the priority sampling procedure
- Undirected ST-connectivity in log-space
- Computing Diameter in the Streaming and Sliding-Window Models
- An Approximate L1-Difference Algorithm for Massive Data Streams
- Finding frequent items in data streams
- Bursty and Hierarchical Structure in Streams
- Space Efficiency in Synopsis Construction Algorithms
- Combinatorial Group Testing and Its Applications
- Exploratory Data Mining and Data Cleaning
- Modern computer algebra
- Querying and mining data streams: you only get one look a tutorial
- Petabyte Scale Data Mining: Dream or Reality?
- Mining Deviants in a Time Series Database
- Computational geometry - an introduction through randomized algorithms
- Signature-Based Methods for Data Streams
- Comparing Data Streams Using Hamming Norms (How to Zero In)
Cited by
- Width of Points in the Streaming Model
- A Tour of Advanced Data Mining Methodologies: The CART Decision Tree
- Measuring k-Wise Independence of Streaming Data
- Processing highly variant language using incremental model selection
- A comparative study of simple online learning strategies for streaming data
- Tight bounds for data stream algorithms and communication problems
- Streaming and Sketch Algorithms for Large Data NLP
- Frugal and Online Affinity Propagation
- Deterministic Compressed Sensing
- Resource-aware knowledge discovery in data streams
- Self-improving immunization policies for complex networks
- We’re Not in Kansas Anymore: Detecting Domain Changes in Streams
- Towards Ideal Network Traffic Measurement: A Statistical Algorithmic Approach
- Data processing networks made easy : improving development possibilities for people with limited computer science knowledge
- A SURVEY OF STREAM DATA MINING
- Data Streaming Algorithms for Rapid Cyber Attack Detection
- Mitigating the Insider Threat Using High-Dimensional Search and Modeling
- An incremental data-stream sketch using sparse random projections
- High Performance Data Mining in Time Series: Techniques and Case Studies
- Toward A Highly Available Future Internet
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