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Name at least six characteristics or features of a data warehouse. This question has 0 answers so far.
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Explain various data mining techniques. This question has 0 answers so far.
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Explain the drill down terms. This question has 0 answers so far.
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Explain the roll up terms. This question has 0 answers so far.
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Explain the slice and dice terms. This question has 0 answers so far.
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Does a Data Mining access of data differs from the traditional access? Justify your answer. This question has 0 answers so far.
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What are the basic data mining tasks? Explain them with examples. This question has 0 answers so far.
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Describe what types of processing take place in a data ware housing. This question has 0 answers so far.
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Compare and contrast database, information retrieval and data mining queries What metrics are used to measure the performance of each type of query? This question has 0 answers so far.
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"A major problem with single link algorithm is that cluster consisting of long chains may be created" Describe and illustrate this concept. This question has 0 answers so far.
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How OLAP is implemented in query languages? Explain with example. This question has 0 answers so far.
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How are the top-down and bottom-up approaches for building a data ware house different? Discuss the merits and demerits of each approach. This question has 0 answers so far.
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What are the three major types of metadata in a data warehouse? Briefly mention the purpose of each type. This question has 0 answers so far.
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Why one should consider that data warehouse is a collection of decision support technologies and aims at enabling the knowledge worker to make better and faster decisions. This question has 0 answers so far.
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What are the social aspects of data mining which you consider are needed to be addressed immediately and why? Also write what are the trends in data mining and data ware housing This question has 0 answers so far.
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Write short notes on Data cleaning. This question has 0 answers so far.
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Write short notes on Data Integration and Transformation. This question has 0 answers so far.
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Write short notes on Data reduction. This question has 0 answers so far.
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Write short notes on Data Staging. This question has 0 answers so far.
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Write short notes on Data Mart. This question has 0 answers so far.
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What are the features of snowflake schema? What is fact constellation? This question has 0 answers so far.
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Differentiate between OLAP and OLTP. This question has 0 answers so far.
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What do you mean by subject oriented, integrated, time variant and non volatile collection of data in data warehousing? This question has 0 answers so far.
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Differentiate between classification and clustering. This question has 0 answers so far.
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What are the advantages of star schema? Explain. This question has 0 answers so far.
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What are the different data extraction and data cleaning techniques? Explain. This question has 0 answers so far.
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Discuss the data warehouse architecture with all its components. This question has 0 answers so far.
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What is metadata? Explain. This question has 0 answers so far.
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What are data marts? How they are different from traditional data ware houses? This question has 0 answers so far.
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What is multidimensional data model? Explain. This question has 0 answers so far.
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Explain the materialized view of data warehouses. This question has 0 answers so far.
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What are the necessary steps to cluster large databases? Explain This question has 0 answers so far.
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How multidimensional model be represented in a relational databases? Explain. This question has 0 answers so far.
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Explain the MOLAP. This question has 0 answers so far.
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Explain the ROLAP. This question has 0 answers so far.
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Explain the HOLAP. This question has 0 answers so far.
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What do you mean by knowledge discovery process? This question has 0 answers so far.
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Write down the different steps for design and implementation of OLAP models. This question has 0 answers so far.
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What is a decision tree? Where they can be used? This question has 0 answers so far.