• MOA

  • Referenced in 46 articles [sw11966]
  • most popular open source framework for data stream mining, with a very active growing community...
  • COOLCAT

  • Referenced in 30 articles [sw37383]
  • records with categorical attributes, and data streams. In contrast with other categorical clustering algorithms published ... equipped to deal with clustering of data streams(continuously arriving streams of data point) since...
  • Daikon

  • Referenced in 44 articles [sw04319]
  • structures, and checking the validity of data streams, among other tasks...
  • MISTY

  • Referenced in 29 articles [sw24162]
  • with eight rounds can encrypt a data stream in CBC mode at a speed...
  • StreamKM++

  • Referenced in 14 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 21 articles [sw14569]
  • batch change detection for univariate data streams, using the change point model framework. Functions...
  • StreamKrimp

  • Referenced in 8 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...
  • C-SPARQL

  • Referenced in 7 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...
  • Apache Flink

  • Referenced in 11 articles [sw32517]
  • stateful computations over unbounded and bounded data streams. Flink has been designed...
  • 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...
  • Scikit-multiflow

  • Referenced in 7 articles [sw27629]
  • most popular open source framework for data stream mining, and MEKA, an open source implementation ... framework for multi-output/multi-label and stream data mining...
  • GPUTop

  • Referenced in 10 articles [sw23299]
  • requirements of the single instruction, multiple data stream processors, special attention is given...
  • momentuHMM

  • Referenced in 9 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...
  • AWK

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

  • Referenced in 6 articles [sw22338]
  • huge amounts of data and live streaming data analysis...
  • stream

  • Referenced in 3 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 11 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...
  • 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...
  • Apache Spark

  • Referenced in 59 articles [sw28418]
  • engine that supports general computation graphs for data analysis. It also supports a rich ... learning, GraphX for graph processing, and Spark Streaming for stream processing...
  • jsonlite

  • Referenced in 13 articles [sw15573]
  • jsonlite’ contains functions to stream, validate, and prettify JSON data. The unit tests included with...