Data Mining Cluster Analysis: Advanced Concepts and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining pot

... Introduction to Data Mining 19 Experimental Results: CHAMELEON Data Mining Cluster Analysis: Advanced Concepts and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining byTan, Steinbach, ... Tan,Steinbach, Kumar Introduction to Data Mining 1 © Tan,Steinbach, Kumar Introduction to Data Mining 20 Experimental Results: CURE (10 clusters)© Tan,Steinbach, Kumar Introduction to Data Mining 21 ... (15 clusters)© Tan,Steinbach, Kumar Introduction to Data Mining 22 Experimental Results: CHAMELEON© Tan,Steinbach, Kumar Introduction to Data Mining 23 Experimental Results: CURE (9 clusters)©...

Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot

... Kumar Introduction to Data Mining 19 Clustering Algorithms K-means and its variantsHierarchical clusteringDensity-based clustering Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture ... Notes for Chapter 8 Introduction to Data Mining byTan, Steinbach, Kumar© Tan,Steinbach, Kumar Introduction to Data Mining 1 © Tan,Steinbach, Kumar Introduction to Data Mining 20 K-means ClusteringPartitional ... in the cluster than to any point not in the cluster. 3 well-separated clusters© Tan,Steinbach, Kumar Introduction to Data Mining 12 Types of Clusters: Center-BasedCenter-based– A cluster...

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Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf

... Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining byTan, Steinbach, Kumar© Tan,Steinbach, Kumar Introduction to Data Mining 1 © Tan,Steinbach, Kumar Introduction ... Tan,Steinbach, Kumar Introduction to Data Mining 16 Reducing Number of ComparisonsCandidate counting:–Scan the database of transactions to determine the support of each candidate itemset– To reduce ... increases–Used by DHP and vertical-based mining algorithms Reduce the number of comparisons (NM)–Use efficient data structures to store the candidates or transactions–No need to match every candidate...

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Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx

... 0.33 Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining byTan, Steinbach, Kumar© Tan,Steinbach, Kumar Introduction to Data Mining ... Tan,Steinbach, Kumar Introduction to Data Mining 27 Examples of Sequence Data Sequence DatabaseSequence Element (Transaction)Event(Item)Customer Purchase history of a given customerA set of ... Tan,Steinbach, Kumar Introduction to Data Mining 17 Min-Apriori Data contains only continuous attributes of the same “type”–e.g., frequency of words in a documentPotential solution:–Convert into 0/1...

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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 byTan, Steinbach, Kumar© Tan,Steinbach, Kumar Introduction to Data Mining 1 © Tan,Steinbach, Kumar Introduction to Data Mining ... given data set is divided into training and test sets, with training set used to build the model and test set used to validate it.© Tan,Steinbach, Kumar Introduction to Data Mining 30 How to ... Test Data Assign Cheat to “No”© Tan,Steinbach, Kumar Introduction to Data Mining 15 Decision Tree Classification TaskDecision Tree© Tan,Steinbach, Kumar Introduction to Data Mining 16...

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Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining ppt

... Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining byTan, Steinbach, Kumar© Tan,Steinbach, Kumar Introduction to Data Mining 20 Clustering of S&P 500 Stock Data Discovered ... of the data is never analyzed at all0500,0001,000,0001,500,0002,000,0002,500,0003,000,0003,500,0004,000,000 199 5 199 6 199 7 199 8 199 9The Data GapTotal new disk (TB) since 199 5Number ... of data Traditional techniques infeasible for raw data Data mining may help scientists –in classifying and segmenting data –in Hypothesis Formation© Tan,Steinbach, Kumar Introduction to Data...

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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 byTan, Steinbach, Kumar© Tan,Steinbach, Kumar Introduction to Data Mining 20 ... Computation and Dense Linear System Solvers© Tan,Steinbach, Kumar Introduction to Data Mining 17 Chemical Data /0,1+1© Tan,Steinbach, Kumar Introduction to Data Mining 18 Ordered Data ... Kumar Introduction to Data Mining 10 Types of data sets – Data Matrix–Document Data –Transaction Data –World Wide Web–Molecular Structures!–Spatial Data –Temporal Data –Sequential...

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Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining potx

... Kumar Introduction to Data Mining 1 Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining byTan, Steinbach, Kumar© Tan,Steinbach, Kumar Introduction to Data Mining ... ability to distinguish faces© Tan,Steinbach, Kumar Introduction to Data Mining 29 Star Plots for Iris Data SetosaVersicolourVirginica© Tan,Steinbach, Kumar Introduction to Data Mining 2 ... Introduction to Data Mining 27 Parallel Coordinates Plots for Iris Data © Tan,Steinbach, Kumar Introduction to Data Mining 28 Other Visualization TechniquesStar Plots –Similar approach to...

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Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf

... covered by R1 Data Mining Classification: Alternative Techniques Lecture Notes for Chapter 5 Introduction to Data Mining byTan, Steinbach, Kumar© Tan,Steinbach, Kumar Introduction to Data Mining ... (2) and (3) until 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 ... Tan,Steinbach, Kumar Introduction to Data Mining 28 Indirect Methods© Tan,Steinbach, Kumar Introduction to Data Mining 29 Indirect Method: C4.5rulesExtract rules from an unpruned decision tree For each...

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ORAL BIOAVAILABILITY Basic Principles, Advanced Concepts, and Applications potx

... (Veng-Pedersen, 198 0c; Gillespie and Veng-Pedersen, 198 5), poly-nomial (Cutler, 197 8b; Yeh and Small, 198 9), spline(Verotta, 199 3a), prescribed functions (Cutler, 197 8c), and so on. Constrained ... square (Verotta, 198 9, 199 3b) hasalso been used for the more advanced numerical deconvo-lution programs.7.4 DEVELOPMENT AND ASSESSMENTSOF AN IVIVCIn the 199 7 guidance, FDA ( 199 7a) provided a ... administered to dogs, forms II and IV showedhigher bioavailabilities than forms I and III (Kimuraet al., 199 9). While it is generally preferred to formulatethe most thermodynamically stable form,...

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