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  2. Data Mining Extensions - Wikipedia

    en.wikipedia.org/wiki/Data_Mining_Extensions

    Data Mining Extensions (DMX) is a query language for data mining models supported by Microsoft's SQL Server Analysis Services product. [1] Like SQL, it supports a data definition language (DDL), data manipulation language (DML) and a data query language (DQL), all three with SQL-like syntax. Whereas SQL statements operate on relational tables ...

  3. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. [1] Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data ...

  4. Relational data mining - Wikipedia

    en.wikipedia.org/wiki/Relational_data_mining

    Relational data mining is the data mining technique for relational databases. [1] Unlike traditional data mining algorithms, which look for patterns in a single table (propositional patterns), relational data mining algorithms look for patterns among multiple tables (relational patterns). For most types of propositional patterns, there are ...

  5. Orthogonal frequency-division multiple access - Wikipedia

    en.wikipedia.org/wiki/Orthogonal_frequency...

    Orthogonal frequency-division multiple access (OFDMA) is a multi-user version of the popular orthogonal frequency-division multiplexing (OFDM) digital modulation scheme. Multiple access is achieved in OFDMA by assigning subsets of subcarriers to individual users. This allows simultaneous low-data-rate transmission from several users.

  6. Apriori algorithm - Wikipedia

    en.wikipedia.org/wiki/Apriori_algorithm

    Apriori [1] is an algorithm for frequent item set mining and association rule learning over relational databases.It proceeds by identifying the frequent individual items in the database and extending them to larger and larger item sets as long as those item sets appear sufficiently often in the database.

  7. Statistical time-division multiplexing - Wikipedia

    en.wikipedia.org/wiki/Statistical_time-division...

    Time domain statistical multiplexing (packet mode communication) is similar to time-division multiplexing (TDM), except that, rather than assigning a data stream to the same recurrent time slot in every TDM, each data stream is assigned time slots (of fixed length) or data frames (of variable lengths) that often appear to be scheduled in a randomized order, and experience varying delay (while ...

  8. Multiversion concurrency control - Wikipedia

    en.wikipedia.org/wiki/Multiversion_concurrency...

    This is often a stop-the-world process that traverses a whole table and rewrites it with the last version of each data item. PostgreSQL can use this approach with its VACUUM FREEZE process. Other databases split the storage blocks into two parts: the data part and an undo log. The data part always keeps the last committed version.

  9. Rakesh Agrawal (computer scientist) - Wikipedia

    en.wikipedia.org/wiki/Rakesh_Agrawal_(computer...

    Rakesh has been granted more than 55 patents. He has published more than 150 research papers, many of them considered seminal. He has written the 1st as well as 2nd highest cited of all papers in the fields of databases and data mining (13th and 15th most cited across all computer science as of February 2007 in CiteSeer).

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