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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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Parallel Databases : I/O Parallelism, Interquery Parallelism, Intraquery Parallelism,
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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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