• Daikon

  • Referenced in 43 articles [sw04319]
  • structures, and checking the validity of data streams, among other tasks...
  • MOA

  • Referenced in 36 articles [sw11966]
  • most popular open source framework for data stream mining, with a very active growing community...
  • MISTY

  • Referenced in 25 articles [sw24162]
  • with eight rounds can encrypt a data stream in CBC mode at a speed...
  • StreamKM++

  • Referenced in 13 articles [sw25552]
  • small weighted sample of the data stream,called the coreset of the data stream ... coreset is extracted from the data stream, a weighted k-means algorithm is applied ... final clusters for the original stream data...
  • cpm

  • Referenced in 12 articles [sw14569]
  • batch change detection for univariate data streams, using the change point model framework. Functions...
  • StreamKrimp

  • Referenced in 6 articles [sw28421]
  • StreamKrimp: Detecting Change in Data Streams. Data streams are ubiquitous. Examples range from sensor networks ... fact, even market basket data can be seen as a stream of sales. Detecting changes ... analyse this problem for streams of transaction data from an MDL perspective. Based on this ... With these code tables, StreamKrimp partitions the stream into a sequence of substreams. Each switch...
  • VFML

  • Referenced in 6 articles [sw11967]
  • mining high-speed time-changing data streams. Welcome to the VFML (Very Fast Machine Learning ... toolkit for mining high-speed data streams and very large data sets. VFML is made ... very large data sets or from data streams. You can get an overview...
  • C-SPARQL

  • Referenced in 5 articles [sw02088]
  • continuous query language for RDF data streams. This article defines C-SPARQL, an extension ... queries, i.e. queries registered over RDF data streams and then continuously executed. Queries consider windows ... most recent triples of such streams, observed while data is continuously flowing. Supporting streams ... expression of meaningful queries over streaming data is strictly connected to the availability of aggregation...
  • AWK

  • Referenced in 17 articles [sw23781]
  • actions to be taken against streams of textual data – either run directly on files...
  • Apache Flink

  • Referenced in 8 articles [sw32517]
  • stateful computations over unbounded and bounded data streams. Flink has been designed...
  • GPUTop

  • Referenced in 8 articles [sw23299]
  • requirements of the single instruction, multiple data stream processors, special attention is given...
  • momentuHMM

  • Referenced in 7 articles [sw21676]
  • distributions for an unlimited number of data streams and latent behavior states; 3) biased ... measurement error and temporally-irregular or missing data; 6) seamless integration of spatio-temporal covariate...
  • MAX-FISM

  • Referenced in 3 articles [sw27584]
  • mining (recently) maximal frequent itemsets over data streams using the sliding window model. Frequent itemset ... mining from data streams is an important data mining problem with broad applications such ... high-speed and continuous characteristics of streaming data. Therefore, extracting frequent itemsets from more recent ... data can enhance the analysis of stream data. In this paper, we propose an efficient...
  • Flask

  • Referenced in 5 articles [sw09691]
  • time consumption; a higher-level ”data stream” combinator library for quickly constructing sensor network programs...
  • stream

  • Referenced in 2 articles [sw23392]
  • stream: An Extensible Framework for Data Stream Clustering Research with R. In recent years, data ... computer science, database and statistics communities. Data streams are ordered and potentially unbounded sequences ... Common data mining tasks associated with data streams include clustering, classification and frequent pattern mining ... tool that includes modeling and simulating data streams as well as an extensible framework...
  • Sigma*

  • Referenced in 8 articles [sw21731]
  • stream filters---programs that process streams of data items---for which Sigma* converges ... useful for web sanitizer verification and stream programs compiler optimizations, as we show experimentally...
  • GPI-Space

  • Referenced in 4 articles [sw22338]
  • huge amounts of data and live streaming data analysis...
  • Naiad

  • Referenced in 4 articles [sw32529]
  • Naiad is a distributed system for executing data parallel, cyclic dataflow programs. It offers ... batch processors, the low latency of stream proces- sors, and the ability to perform iterative ... abling such diverse tasks as streaming data analysis, it- erative machine learning, and interactive graph...
  • JPAX

  • Referenced in 29 articles [sw09906]
  • concurrency errors such as deadlocks and data races. The concurrency analysis requires no user provided ... which when executed will emit an event stream, the execution trace, to an observer ... observer dispatches the incoming event stream to a set of observer processes, each performing ... logic verification, the deadlock analysis and the data race analysis. Temporal logic specifications...
  • samoa2

  • Referenced in 4 articles [sw25252]
  • efficient. Based purely on stack and stream data structures, it completely avoids random memory access...