Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx
Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx
... 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 1 © Tan,Steinbach, ... 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 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, 7 Sequence Database:©...
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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 20 Association ... 6 7 3 6 83 5 63 5 7 6 8 92 3 45 6 7 1 2 44 5 7 1 2 54 5 81,4 ,7 2,5,83,6,9Hash FunctionCandidate Hash TreeHash on 2, 5 or 8 Data Mining Association Analysis: Basic Concepts and Algorithms Lecture ... 83 5 63 5 7 6 8 92 3 45 6 7 1 2 44 5 7 1 2 54 5 81,4 ,7 2,5,83,6,9Hash FunctionCandidate Hash TreeHash on 1, 4 or 7 © Tan,Steinbach, Kumar Introduction to Data Mining 19 Association...
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Data Mining Cluster Analysis: Advanced Concepts and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining pot
... and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining byTan, Steinbach, Kumar© Tan,Steinbach, Kumar Introduction to Data Mining 1 © Tan,Steinbach, Kumar Introduction to Data ... Introduction to Data Mining 18 Experimental Results: CHAMELEON© Tan,Steinbach, Kumar Introduction to Data Mining 19 Experimental Results: CHAMELEON Data Mining Cluster Analysis: Advanced Concepts ... Data Mining 22 Experimental Results: CHAMELEON© Tan,Steinbach, Kumar Introduction to Data Mining 23 Experimental Results: CURE (9 clusters)© Tan,Steinbach, Kumar Introduction to Data Mining...
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Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot
... 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 ... characteristics, e.g., autocorrelationDimensionalityNoise and OutliersType of Distribution© Tan,Steinbach, Kumar Introduction to Data Mining 19 Clustering Algorithms K-means and its variantsHierarchical ... Kumar Introduction to Data Mining 25 Evaluating K-means ClustersMost common measure is Sum of Squared Error (SSE)– For each point, the error is the distance to the nearest cluster– To get...
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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 condition?•How to determine the best split?–Determine when to stop splitting© Tan,Steinbach, Kumar Introduction to Data Mining 27 How to determine the Best SplitBefore Splitting: 10...
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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 ... filtering).Category TotalArticlesCorrectlyPlacedFinancial555 364Foreign341 260National 273 36Metro943 74 6Sports 73 8 573 Entertainment354 278 © Tan,Steinbach, Kumar Introduction to Data Mining 1 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 ... Kumar Introduction to Data Mining 17 Aspects of Sequential CoveringRule GrowingInstance EliminationRule EvaluationStopping CriterionRule Pruning© 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...
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ORAL BIOAVAILABILITY Basic Principles, Advanced Concepts, and Applications potx
... excretion (Chapter 24), to the coupling between efflux transporters and enzymes (Chapter 25), to computational methods and approaches to predict bioavailability (Chapter 33). For the technology and methodology, ... L. Amidon for writing an insightful and inspiring forward for this book.MING HU,Ph.DUniversity of Houston, Houston, TexasXIAOLING LI,Ph.DUniversity of the Pacific, Stockton, CaliforniaxiiiCONTRIBUTORSSuresh ... vivopharmacokinetics (Chapter 31), and methods to determineregulation of enzymes and transporters (Chapter 32).Rapid advances in the human genomics and proteomicspromise to better predict factors determining...
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