Data Mining & Data Ware House

Data Mining & Data Ware House
31. Decision trees is
  • A family of relational database management systems marketed by IBM
  • Interactive systems that enable decision makers to use database and models on a computer in order to solve ill-structured problems
  • It consists of nodes and branches starting from a single rot node. Each node represents a test, or decision.
  • None of these
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32. Deep knowledge referred to
  • It is hidden within a database and can only be recovered if one is given certain clues be recovered if one is given certain clues (an example IS encrypted information)
  • the process of executing implicit previously unknown and potentially useful information from dat(A)
  • An extremely complex molecule that occurs in human chromosomes and that carries genetic information in the form of genes.
  • None of these
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33. Discovery is
  • It is hidden within a diatabase and can only be recovered if one is given certain clues (an example if one is given certain clues (an example IS encrypted information).
  • The process of executing implicit previously unknown and potentially useful information from dat(A)
  • An extremely complex molecule that occurs in human chromosomes and that carries genetic information in the form of genes.
  • None of these
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34. DNA (Dexoyribonucleic acid)
  • It is hidden within a database and can only be recoverd if one is given certain clues (an example IS encrypted information).
  • The process of executing implicit previously unknown and potentially useful information from dat (A)
  • An extremely complex molecule that occurs in human chromosomes and that carries genetic information in the form of genes.
  • None of these
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35. Enrichment is
  • A stage of the KDD process in which new data is added to the existing selection
  • The processo of finding solution for a pssible solutions according to some pre-defined order and then testing them.
  • The distance between two points as calculated using the Pythagoras theorem.
  • None of these
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36. Enumeration is referred to
  • A stage of the KDD process in which new data is added to the existing selection
  • The process of finding a solution for a problem simply by enumerating all possible solutions according to some pre-defined order and then testing them
  • The distance between two points as calculated using the Pythagoras theorem.
  • None of these
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37. Euclidean distance measure is
  • A stage of the KDD process in which new data is added to the existing selection
  • The process of finding a solution for a problem simply by enumerating all possible solutions according to some pre-defined order and then testing them.
  • The distance between two points as calculated using the Pythagoras theorem
  • None of these
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38. Heuristic is
  • A set of databases from different vendors, possibly using different database paradigms
  • An approach toa a problem that is not guaranteed to work but performs well in most cases
  • Information that is hidden in a database and that cannot be recovered by a simply SQL query.
  • None of these
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39. Heterogeneous databases referred to
  • A set of database from different vendors, possibly using different database paradigms
  • An approach to a problem that is not guaranteed to work but performs well in most cases
  • Information that is hidden in a database and that cannot be recovered by a simply SQL query
  • None of these
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40. Hidden knowledge referred to
  • A set of database from different vendors, possibly using different database paradigms
  • An approach to a problem that is not guaranteed to work but performs well in most cases
  • Information that is hidden in a database and that cannot be recovered by a simple SQL query
  • None of these
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