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  2. Lossless join decomposition - Wikipedia

    en.wikipedia.org/wiki/Lossless_join_decomposition

    In database design, a lossless join decomposition is a decomposition of a relation into relations , such that a natural join of the two smaller relations yields back the original relation. This is central in removing redundancy safely from databases while preserving the original data. [ 1 ]

  3. Chase (algorithm) - Wikipedia

    en.wikipedia.org/wiki/Chase_(algorithm)

    The chase is a simple fixed-point algorithm testing and enforcing implication of data dependencies in database systems.It plays important roles in database theory as well as in practice.

  4. Join dependency - Wikipedia

    en.wikipedia.org/wiki/Join_dependency

    In database theory, a join dependency is a constraint on the set of legal relations over a database scheme. A table T {\displaystyle T} is subject to a join dependency if T {\displaystyle T} can always be recreated by joining multiple tables each having a subset of the attributes of T {\displaystyle T} .

  5. Multivalued dependency - Wikipedia

    en.wikipedia.org/wiki/Multivalued_dependency

    A multivalued dependency is a special case of a join dependency, with only two sets of values involved, i.e. it is a binary join dependency. A multivalued dependency exists when there are at least three attributes (like X,Y and Z) in a relation and for a value of X there is a well defined set of values of Y and a well defined set of values of Z ...

  6. Functional dependency - Wikipedia

    en.wikipedia.org/wiki/Functional_dependency

    Intuitively, if a functional dependency X → Y holds in R, then the relation can be safely split in two relations alongside the column X (which is a key for () ()) ensuring that when the two parts are joined back no data is lost, i.e. a functional dependency provides a simple way to construct a lossless join decomposition of R in two smaller ...

  7. Slepian–Wolf coding - Wikipedia

    en.wikipedia.org/wiki/Slepian–Wolf_coding

    Distributed coding is the coding of two, in this case, or more dependent sources with separate encoders and a joint decoder.Given two statistically dependent independent and identically distributed finite-alphabet random sequences and , the Slepian–Wolf theorem gives a theoretical bound for the lossless coding rate for distributed coding of the two sources.

  8. Huffman coding - Wikipedia

    en.wikipedia.org/wiki/Huffman_coding

    In computer science and information theory, a Huffman code is a particular type of optimal prefix code that is commonly used for lossless data compression.The process of finding or using such a code is Huffman coding, an algorithm developed by David A. Huffman while he was a Sc.D. student at MIT, and published in the 1952 paper "A Method for the Construction of Minimum-Redundancy Codes".

  9. Lattice-based access control - Wikipedia

    en.wikipedia.org/wiki/Lattice-based_access_control

    Mathematically, the security level access may also be expressed in terms of the lattice (a partial order set) where each object and subject have a greatest lower bound (meet) and least upper bound (join) of access rights. For example, if two subjects A and B need access to an object, the security level is defined as the meet of the levels of A ...