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discuss the different techniques for executing an equijoin of two files located at different sites what main factors
discuss the semi join method for executing an equijoin of two files located at different sites under what conditions is
discuss the factors that affect query decomposition how are guard conditions and attribute lists of fragments used
discuss the two-phase commit protocol used for transaction management in a ddbms list its limitations and explain how
compare the primary site method with the primary copy method for distributed concurrency control how does the use of
what are the main challenges facing a traditional ddbms in the context of todays internet applications how does cloud
what is model-theoretic interpretation and how does it differ from proof theoretic
what are the main software modules of a ddbms discuss the main functions of each of these modules in the context of the
what is a fragment of a relation what are the main types of fragments why is fragmentation a useful concept in
how is f-score defined as a metric of information retrieval in what way does it account for both precision and
what is stop word removal and stemming why are these processes necessary for better information
what algorithms are popular in ranking or determining the importance of web pages which algorithm was proposed by the
what are hubs and authority pages how does the hits algorithm use these
what are vocabularies in ir systems what role do they play in the indexing of
describe neural networks and genetic algorithms as techniques for data mining what are the main difficulties in using
what is structured data and unstructured data give an example of each from your experience with data that you may have
name some digital libraries that you have accessed what do they contain and how far back does the data
define the tf-idf scheme of determining the weight of a keyword in a document what is the necessity of including idf in
consider the following set of two-dimensional recordsalso consider two different clustering schemes 1 where cluster1
for the partition algorithm prove that any frequent item set in the database must appear as a local frequent item set
the k-means algorithm uses a similarity metric of distance between a record and a cluster centroid if the attributes of
what are the different phases of the knowledge discovery from databases describe a complete application scenario in
what is the downward closure property how does it aid in developing an efficient algorithm for finding association
calculate the duration of a symbol for a bit in a two-phase modulated system transmitting at 20 mbitssec in a spectrum