Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot
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 ... a cluster is closer (or more similar) to one or more other points in the cluster than to any point not in the cluster. 8 contiguous clusters© Tan,Steinbach, Kumar Introduction to Data Mining...
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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 byTan, Steinbach, Kumar© Tan,Steinbach, Kumar Introduction to Data Mining 1 © Tan,Steinbach, Kumar Introduction to Data Mining ... 73 6 8 3 5 63 5 76 8 92 3 45 6 71 2 44 5 71 2 54 5 8 1,4,72,5 ,8 3,6,9Hash FunctionCandidate Hash TreeHash on 2, 5 or 8 Data Mining Association Analysis: Basic Concepts and Algorithms Lecture ... 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 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 ... Tan,Steinbach, Kumar Introduction to Data Mining 14 Chameleon: Clustering Using Dynamic ModelingAdapt to the characteristics of the data set to find the natural clustersUse a dynamic model to measure...
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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 26 Sequence Data Object Timestamp EventsA 10 2, 3, 5A 20 6, 1A 23 1B 11 4, 5, 6B 17 2B 21 7, 8, 1, 2B 28 1, 6C 14 1, 8, 7Sequence Database:© ... 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...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
... Trees, and Model 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 ... 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 ... Divorced< 80 K > 80 KRefund Marital Status Taxable Income Cheat No Married 80 K ? 10 Test Data © Tan,Steinbach, Kumar Introduction to Data Mining 14 Apply Model to Test Data RefundMarStTaxIncYESNONONOYes...
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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 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 ... day© Tan,Steinbach, Kumar Introduction to Data Mining 29 Challenges of Data Mining ScalabilityDimensionalityComplex and Heterogeneous Data Data Quality Data Ownership and DistributionPrivacy...
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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 ... 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 ... 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...
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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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Endometriosis - Basic Concepts and Current Research Trends Edited by Koel Chaudhury and Baidyanath Chakravarty ppt
... estrogen and progesterone receptors and respond to changes of hormonal levels with bleeding or production and release of inflammatory mediators, especially prostaglandins E2 and F. For a long ... progesterone and androgen are mediated through their respective receptors - Estrogen Receptors (ER), Progesterone Receptors (PR) Endometriosis 9 and Androgen Receptors (AR) - these receptors must ... hypothyroidism, allergies, asthma, and auto-immune disorders. The associated risk factors are directly related to low body mass index (BMI), and family history and are inversely related to...
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