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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
you are a senior technology analyst for an it support company of approximately 30 employees your company assists small
design a data warehouse for a regional weather bureau the weather bureau has about 1000 probes which are scattered
lab-file processingobjectivesbulladd persistent data storage to your week 4 lab using text file inputoutputproblem
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
topic proposal for term paper - in order to show understanding on network-related issues each student is expected to
suppose that a data warehouse contains 20 dimensions each with about five levels of granularitya users are mainly
a data cube c has n dimensions and each dimension has exactly p distinct values in the base cuboid assume that there
overviewfor this assignment you will implement and query a database from a supplied er diagram and schema you will be
what are the differences between the three main types of data warehouse usage information processing analytical
data analysis apriori analysisincluded with this assignment is an excel spreadsheet containing customer receiptsthe
the ranking cube was designed to support top-k ranking queries in relational database systems however ranking queries
there are several typical cube computation methods such as multi way zdn97 buc br99 and star-cubing xhlw03 briefly
suppose a data cube c has d dimensions and the base cuboid contains k distinct tuplesa present a formula to calculate
often the aggregate count value of many cells in a large data cuboid is zero resulting in a huge yet sparse
the purpose of the veterinary hospital registration system is to handle and record all the information relating to the
suppose that we want to compute an iceberg cube for the dimensions a b c d where we wish to materialize all cells that
discuss how you might extend the star-cubing algorithm to compute iceberg cubes where the iceberg condition tests for
the sampling cube was proposed for multidimensional analysis of sampling data eg survey data in many real applications
the ranking cube was proposed for efficient computation of top-k ranking queries in relational databases recently