Sumitkumar24
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27 items
Data Warehousing and Data Mining
Data Warehousing, Data Mart, Business, Data Mining.
- Package deal
- • 4 items •
- Data Warehousing and Data Mining:- (Data Warehousing) • Class notes
- Data Warehousing and Data Mining:- (Business) • Class notes
- Data Warehousing and Data Mining:- (Data Mining) • Class notes
- Data Warehousing and Data Mining • Class notes
Data Warehousing, Data Mart, Business, Data Mining.
Data Warehousing and Data Mining
DSS Uses, Definition, Operational Database, Introduction to Data Warehousing, Data Mart, Concept of Data Warehousing, Multi Dimensional Database Structures, Client/Server Computing Model and Data Warehousing, Parallel Processors and Cluster Systems, Distributed DBMS Implementations.
- Book & Paket-Deal
- Class notes
- • 9 pages •
DSS Uses, Definition, Operational Database, Introduction to Data Warehousing, Data Mart, Concept of Data Warehousing, Multi Dimensional Database Structures, Client/Server Computing Model and Data Warehousing, Parallel Processors and Cluster Systems, Distributed DBMS Implementations.
Data Warehousing and Data Mining:- (Data Mining)
Knowledge Discovery, Data Mining, Introduction to Data Mining, Techniques of Data Mining, Decision Trees, Neural Networks, Nearest Neighbor and Clustering, Genetic Algorithms, Rule Introduction, Selecting and using the Right Technique.
- Book & Paket-Deal
- Class notes
- • 7 pages •
Knowledge Discovery, Data Mining, Introduction to Data Mining, Techniques of Data Mining, Decision Trees, Neural Networks, Nearest Neighbor and Clustering, Genetic Algorithms, Rule Introduction, Selecting and using the Right Technique.
Data Warehousing and Data Mining:- (Business)
Business Analysis, Reporting and Query Tools, Applications, Online Analytical Processing (OLAP), Patterns and Models, Statistics, Artificial Intelligence.
- Book & Paket-Deal
- Class notes
- • 6 pages •
Business Analysis, Reporting and Query Tools, Applications, Online Analytical Processing (OLAP), Patterns and Models, Statistics, Artificial Intelligence.
Distributed System:- (Distributed Shared Memory, Distributed Scheduling)
Distributed Shared Memory: Introduction, Architecture and Motivation, Algorithm for Implementing DSM, Memory Coherence, Coherence Protocols. Distributed Scheduling: Issues in Load Distribution, Component of Load Distribution Algorithms, Load Distribution Algorithms, Performance Comparison, Task Migration, Introduction to Fault Tolerance, Data Security, Encryption, Multiprocessor Operating Systems.
- Book & Paket-Deal
- Class notes
- • 15 pages •
Distributed Shared Memory: Introduction, Architecture and Motivation, Algorithm for Implementing DSM, Memory Coherence, Coherence Protocols. Distributed Scheduling: Issues in Load Distribution, Component of Load Distribution Algorithms, Load Distribution Algorithms, Performance Comparison, Task Migration, Introduction to Fault Tolerance, Data Security, Encryption, Multiprocessor Operating Systems.
Distributed System:- (Agreement Protocols, Classification of Agreement Problem, Distributed File Systems)
Agreement Protocols: Introduction, System Model. Classification of Agreement Problem: Byzantine Agreement Problem, Consensus Problem, Interactive Consistency Problem, Solution to Byzantine Agreement Problem, Application of Agreement Problem. Distributed File Systems: Introduction, Architecture, Building Mechanism: Mounting Caching, Hints, Bulk Data Transfer, and Encryption. Design Issues: Naming and Name Resolution, Caches on Disk or Main Memory, Writing Policy.
- Book & Paket-Deal
- Class notes
- • 13 pages •
Agreement Protocols: Introduction, System Model. Classification of Agreement Problem: Byzantine Agreement Problem, Consensus Problem, Interactive Consistency Problem, Solution to Byzantine Agreement Problem, Application of Agreement Problem. Distributed File Systems: Introduction, Architecture, Building Mechanism: Mounting Caching, Hints, Bulk Data Transfer, and Encryption. Design Issues: Naming and Name Resolution, Caches on Disk or Main Memory, Writing Policy.
Design and Analysis of Algorithm
Design Techniques: Divide and Conquer, The Greedy Method, Dynamic Programming, Elementary Graph Algorithms, Additional Topics.
- Package deal
- • 3 items •
Design Techniques: Divide and Conquer, The Greedy Method, Dynamic Programming, Elementary Graph Algorithms, Additional Topics.
Design and Analysis of Algorithm:- (Additional Topics)
Additional Topics: String Matching, NP-Completeness: P and NP, NP-Completeness, Important NPComplete problems, Approximation Algorithms, Randomized Algorithms.
- Book & Paket-Deal
- Class notes
- • 7 pages •
Additional Topics: String Matching, NP-Completeness: P and NP, NP-Completeness, Important NPComplete problems, Approximation Algorithms, Randomized Algorithms.
Design and Analysis of Algorithm:- (Elementary Graph Algorithms)
Elementary Graph Algorithms: Representations of Graphs, Breadth First Search, Depth First Search, Minimum Spanning Trees: Kruskal and Prim’s Algorithms, Single Source Shortest Paths, All Pair Shortest Paths, Maximum Flow.
- Book & Paket-Deal
- Class notes
- • 12 pages •
Elementary Graph Algorithms: Representations of Graphs, Breadth First Search, Depth First Search, Minimum Spanning Trees: Kruskal and Prim’s Algorithms, Single Source Shortest Paths, All Pair Shortest Paths, Maximum Flow.
Design and Analysis of Algorithm:- (Design Techniques: Divide and Conquer, The Greedy Method, Dynamic Programming)
Design Techniques: Divide and Conquer: General Method, Binary Search, Finding Maximum and Minimum, Strassen’s Matrix Multiplication The Greedy Method: General Method: Knapsack Problem, Tree Vertex Splitting problem. Dynamic Programming: General Method, Multi-Stage Graph, String Editing. Backtracking: Basic 8 Queen Problem, Sum of Subset Problem.
- Book & Paket-Deal
- Class notes
- • 21 pages •
Design Techniques: Divide and Conquer: General Method, Binary Search, Finding Maximum and Minimum, Strassen’s Matrix Multiplication The Greedy Method: General Method: Knapsack Problem, Tree Vertex Splitting problem. Dynamic Programming: General Method, Multi-Stage Graph, String Editing. Backtracking: Basic 8 Queen Problem, Sum of Subset Problem.