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what are the four levels of transactions defined in ibms drda compare and contrast these four levels give examples to
consider the following tablea give the sql to horizontally fragment staff by position give the sql to reconstruct the
analyze one of the relational dbmss that you currently use discuss the object-oriented features provided by the system
investigate one of the advanced database applications discussed in section 171 or a similar one that handles complex
produce an object-oriented database design for the hotel case study specified at the start of the exercises in chapter
create a dimensional model for a database capable of analyzing data that describes members joining stay home online
investigate whether your organization college or university uses data mining technologies if found describe the type of
what is data mining in your answer address the followinga is it another hypeb is it a simple transformation or
define each of the following data mining functionalities characterization discrimination association and correlation
present an example where data mining is crucial to the success of a business what data mining functionalities does this
the median is one of the most important holistic measures in data analysis propose several methods for median
given two objects represented by the tuples 22 1 42 10 and 20 0 36 8a compute the euclidean distance between the two
outline the major research challenges of data mining in one specific application domain such as streamsensor data
give three additional commonly used statistical measures that are not already illustrated in this chapter for the
data quality can be assessed in terms of several issues including accuracy completeness and consistency for each of the
exercise 22 gave the following data in increasing order for the attribute age 13 15 16 16 19 20 20 21 22 22 25 25 25 25
what are the value ranges of the following normalization methodsa min-max normalizationb z-score normalizationc z-score
what are the major challenges of mining a huge amount of data eg billions of tuples in comparison with mining a small
explain the difference and similarity between discrimination and classification between characterization and clustering
suppose that a data warehouse consists of the four dimensions date spectator location and game and the two measures
design a data warehouse for a regional weather bureau the weather bureau has about 1000 probes which are scattered
a popular data warehouse implementation is to construct a multidimensional database known as a data cube unfortunately
regarding the computation of measures in a data cubea enumerate three categories of measures based on the kind of
suppose a company wants to design a data warehouse to facilitate the analysis of moving vehicles in an online
radio-frequency identification is commonly used to trace object movement and perform inventory control an rfid reader