lecture notes for introduction to theory of computation - robert daley
lecture notes for introduction to theory of computation - robert daley
... http://www.cs.pitt.edu/ ~daley/ cs2110 /notes/ cs2110w_node7.html (3 of 7) [12/23/2006 12:02:39 PM] Lecture Notes for CS 2110 Introduction to Theory of Computation Next: Forward Lecture Notes for CS 2110 Introduction ... Computing Devices Up: Lecture Notes for CS 2110 Introduction to Theory http://www.cs.pitt.edu/ ~daley/ cs2110 /notes/ cs2110w_node8....
Ngày tải lên: 12/05/2014, 04:36
Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining ppt
... Group 1 Applied-Matl-DOW N,Bay-Net work-Down,3-COM-DOWN, Cabletron-Sys-DOWN,CISCO-DOWN,HP-DOWN, DSC-Comm-DOW N,INTEL-DOWN,LSI-Logic-DOWN, Micron-Tech-DOWN,Texas-Inst-Down,Tellabs-Inc-Down, Natl-Semiconduct-DOWN,Oracl-DOWN,SGI-DOW ... N,INTEL-DOWN,LSI-Logic-DOWN, Micron-Tech-DOWN,Texas-Inst-Down,Tellabs-Inc-Down, Natl-Semiconduct-DOWN,Oracl-DOWN,SGI-DOW N, Sun-DOW N Technology1-DOWN 2 Apple-Co...
Ngày tải lên: 15/03/2014, 09:20
Data Mining: Data Lecture Notes for Chapter 2 Introduction to Data Mining potx
... Tan,Steinbach, Kumar Introduction to Data Mining 1 Data Mining: Data Lecture Notes for Chapter 2 Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach, Kumar Introduction to Data Mining ... component (attribute) of the vector, – the value of each component is the number of times the corresponding term occurs in the document. © Tan,Steinbach, Kumar In...
Ngày tải lên: 15/03/2014, 09:20
Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining potx
... Histograms Histogram – Usually shows the distribution of values of a single variable – Divide the values into bins and show a bar plot of the number of objects in each bin. – The height of ... number of objects – Shape of histogram depends on the number of bins Example: Petal Width (10 and 20 bins, respectively) © Tan,Steinbach, Kumar Introduction to Data Mining 16 T...
Ngày tải lên: 15/03/2014, 09:20
Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
... Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach, Kumar Introduction to Data Mining 1 © Tan,Steinbach, Kumar Introduction to Data Mining ... criterion. Issues – Determine how to split the records • How to specify the attribute test condition? • How to determine the best split? – Determine when to stop splitt...
Ngày tải lên: 15/03/2014, 09:20
Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf
... stopping criterion is met © Tan,Steinbach, Kumar Introduction to Data Mining 15 Example of Sequential Covering (ii) Step 1 © Tan,Steinbach, Kumar Introduction to Data Mining 16 Example of ... Kumar Introduction to Data Mining 17 Aspects of Sequential Covering Rule Growing Instance Elimination Rule Evaluation Stopping Criterion Rule Pruning © Tan,Steinbach, Kumar Introd...
Ngày tải lên: 15/03/2014, 09:20
Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf
... Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach, Kumar Introduction to Data Mining 1 © Tan,Steinbach, Kumar Introduction to Data Mining ... increase number of candidates and max length of frequent itemsets Dimensionality (number of items) of the data set – more space is needed to store support count of...
Ngày tải lên: 15/03/2014, 09:20
Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx
... Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach, Kumar Introduction to Data Mining 1 © Tan,Steinbach, Kumar Introduction to Data Mining ... Tan,Steinbach, Kumar Introduction to Data Mining 27 Examples of Sequence Data Sequence Database Sequence Element (Transaction) Event (Item) Customer Purchase history...
Ngày tải lên: 15/03/2014, 09:20
Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot
... d = number of attributes © Tan,Steinbach, Kumar Introduction to Data Mining 22 Two different K-means Clusterings -2 -1 .5 -1 -0 .5 0 0.5 1 1.5 2 0 0.5 1 1.5 2 2.5 3 x y -2 -1 .5 -1 -0 .5 0 0.5 1 ... Choosing Initial Centroids -2 -1 .5 -1 -0 .5 0 0.5 1 1.5 2 0 0.5 1 1.5 2 2.5 3 x y Iteration 1 -2 -1 .5 -1 -0 .5 0 0.5 1 1.5 2 0 0.5 1 1.5 2...
Ngày tải lên: 15/03/2014, 09:20
Data Mining Cluster Analysis: Advanced Concepts and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining pot
... Tan,Steinbach, Kumar Introduction to Data Mining 16 Chameleon: Steps Preprocessing Step: Represent the Data by a Graph – Given a set of points, construct the k-nearest-neighbor (k-NN) graph to capture ... Tan,Steinbach, Kumar Introduction to Data Mining 14 Chameleon: Clustering Using Dynamic Modeling Adapt to the characteristics of the data set to find the natural clust...
Ngày tải lên: 15/03/2014, 09:20
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