Data Mining and Data Warehousing

SPEC KITS
Supporting Effective Library Management for Over Thirty Years Committed to assisting research and academic libraries in the continuous improvement of management systems, OLMS has worked since 1970 to gather and disseminate the best practices for library needs. As part of its committment, OLMS maintains an active publications program best known for its SPEC Kits. Through the OLMS Collaborative Research/Writing Program, librarians work with ARL staff to design SPEC surveys and w ....etc

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data warehousing ashok kumar notes

In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis. DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data and are used for creating analytical reports for knowledge workers throughout the enterprise. Examples of reports could range from annual and quarterly comparisons and trends to detailed daily sales analyses.

The data stored in the warehouse is u ....etc

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Data Compression
This video lecture series by Dr. Naveen Garg, Department of Computer Science & Engineering ,IIT Delhi includes Introduction to Data Structures and Algorithms, Stacks, Queues and Linked Lists, Dictionaries, Hashing, Trees, Tree Walks-Traversals, Ordered Dictionaries, Deletion, Quick Sort, AVL Trees, Red Black Trees, Disk Based Data Structures, Tries, Data Compression, Priority Queues, Binary Heaps, Data Structures for Graphs, Applications of DFS, Minimum Spanning Trees, The Union, Single Source Shortest Paths, Correctness of Dij ....etc

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lecture notes of data compression by khalid sayood

In digital signal processing, data compression, source coding, or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by identifying unnecessary information and removing it. The process of reducing the size of a data file is ref ....etc

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Integration Of Data mining And Data warehousing Systems
Presented By:
- N.Nagaraju
3/3 M.C.A I Semester
Introduction:
Traditionally, organizations use data tactically - to manage operations. For a competitive edge, strong organizations use data strategically to expand the business, to improve profitability, to reduce costs, and to market more effectively. Data mining creates information assets that an organization can leverage to achieve these strategic objectives. Data Mining is the process of extrac ....etc

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DATA WAREHOUSING AND DATA MINING Question paper



1. (a) Explain data mining as a step in the process of knowledge discovery.
(b) Differentiate operational database systems and data warehousing.

2. Explain various data reduction techniques
.
3. Write the syntax for the following data mining primitives:
(a) The kind of knowledge to be mined.
(b) Measures of pattern interestingness.

4. (a) What is Concept description? Explain.
(b) What are the differences between concept description in large data bases and ....etc

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