'Leaf node' diaporamas de présentation

Data Mining, Decision Trees and Earthquake Prediction

1.02k views • 72 slides

CPS216: Data-intensive Computing Systems

CPS216: Data-intensive Computing Systems. Operators for Data Access (contd.) Shivnath Babu. Insertion in a B-Tree. n = 2. 49. 36. 49. 15. Insert: 62. Insertion in a B-Tree. n = 2. 49. 36. 49. 62. 15. Insert: 62. Insertion in a B-Tree. n = 2. 49. 36. 49. 62. 15. Insert: 50.

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Lecture 9: Inference Nets and Language Models

Prof. Ray Larson University of California, Berkeley School of Information. Lecture 9: Inference Nets and Language Models. Principles of Information Retrieval. Review. Review Probabilistic models Model 1 Model 2 Model 3 & 0 Logistic Regression . Probability Ranking Principle.

742 views • 61 slides

CS B551: Elements of Artificial Intelligence

CS B551: Elements of Artificial Intelligence. Instructor: Kris Hauser http://cs.indiana.edu/~hauserk. Announcements. HW1 due today. Recap. Heuristic search Consistent and admissible heuristics Heuristic accuracy Local search Steepest descent Monte Carlo descent and simulated annealing.

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Chapter 6 Index Structures for Files

Chapter 6 Index Structures for Files. Indexes. Indexes are additional auxiliary access structures with typically provide either faster access to data or secondary access paths without effecting the physical storage of the data.

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Towards Theoretical Foundations of Clustering Margareta Ackerman University of Waterloo

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Maintaining Interactivity 2 - Subsampling

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Temporal Indexing

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DISTRIBUTED SYSTEMS Principles and Paradigms Second Edition ANDREW S. TANENBAUM MAARTEN VAN STEEN Chapter 5 Naming

DISTRIBUTED SYSTEMS Principles and Paradigms Second Edition ANDREW S. TANENBAUM MAARTEN VAN STEEN Chapter 5 Naming. Names, Identifiers, And Addresses. Properties of a true identifier: An identifier refers to at most one entity. Each entity is referred to by at most one identifier.

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k -Nearest neighbors and decision tree

k -Nearest neighbors and decision tree. Nonparametric Supervised Learning. Outline. Context of these algorithms K - n earest neighbors ( k -NN) 1-nearest neighbor (1-NN Extension to k -nearest n eighbors Decision Tree Summary. Outline. Context of these algorithms

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Lossless Compression

Lossless Compression. CIS 465 Multimedia. Compression. Compression : the process of coding that will effectively reduce the total number of bits needed to represent certain information. Compression. There are two main categories Lossless Lossy Compression ratio:. Information Theory.

823 views • 32 slides

Chapter 2: A Simple One Pass Compiler

Chapter 2: A Simple One Pass Compiler. Prof. Steven A. Demurjian Computer Science & Engineering Department The University of Connecticut 371 Fairfield Way, Unit 2155 Storrs, CT 06269-3155. steve@engr.uconn.edu http://www.engr.uconn.edu/~steve (860) 486 - 4818.

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Indexing Source Descriptions based on Defined Classes

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Storage

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2620001 Data Structures

2620001 Data Structures. Search Trees. B+ - Tree Structure. A B+ - Tree is in the form of a balanced tree in which every path from the root of the tree to a leaf of the tree is the same length. Each nonleaf node in the tree has between [n/2] and n children, where n is fixed.

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CompSci 100 Prog Design and Analysis II

CompSci 100 Prog Design and Analysis II. October 21, 2010 Prof. Rodger. Announcements. Apt-five due today, apt-six due next week 20 Questions assignment out, due Nov 2. Trees: no data structure lovelier?. Plan of Action: re trees. Trees from top to bottom

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B + -Tree Index Files

B + -Tree Index Files. Takahiko Saito. Introduction. The most widely used of several index structures that maintain efficiency despite insertion and deletion Takes the form of a balanced tree in which every path from the root of the tree to a leaf of the tree is of the same length.

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A Case Study in Building Layered DHT Applications

A Case Study in Building Layered DHT Applications. Yatin Chawathe Sriram Ramabhadran, Sylvia Ratnasamy, Anthony LaMarca, Scott Shenker, Joseph Hellerstein. Building distributed applications. Distributed systems are designed to be scalable, available and robust

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CS308 Data Structures

An application of binary trees: Binary Expression Trees. CS308 Data Structures. A Binary Expression Tree is. A special kind of binary tree in which: 1. Each leaf node contains a single operand 2. Each nonleaf node contains a single binary operator

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R* Trees

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