Developing Software for Symbian OSAn Introduction to Creating Smartphone Applications in C++Steve docx
Developing Software for Symbian OSAn Introduction to Creating Smartphone Applications in C++Steve docx
... Binary Data 1546.3 The Descriptor Classes 1586.4 Descriptor Methods 1726.5 Converting Between 8-bit and 16-bit Descriptors 186 Developing Software for Symbian OSAn Introduction to Creating ... platforms; however, they do maintain an internalplatform known asTechview. This UI is used and maintained internallyby Symbian to validate development, and is the basis of Symbian sTraining ... emulation(via WINE) is required when building for and running the Symbian OSemulator.Providing native Symbian OS emulator support to other operatingsystems (without needing Windows emulation)...
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Question Bank Introduction to .NET and Programming in C#
... {Console.WriteLine("Init B");}public static void F() {Console.WriteLine("B.F");}}a) Init A A.F Init B B.Fc)A.FInit BInit AA.Fb) Init Init AA.FB.Fd) A.F B.F Init B Init ... the following is a legal constructor for the class Test. [1.0]a) constructor Test(){ } d) void Test(int a, string s, int f)b) Test() { } e) public Test(int a, int b){}c) Test(int a, int b){}73. ... the following statements are true with respect to destructors. [2.0]a) Destructors can be invoked explicitly.c) When an instance is destructed, the destructors in an inheritance chain are called...
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Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining ppt
... segmenting data– in Hypothesis Formation© Tan,Steinbach, Kumar Introduction to Data Mining 1 Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data MiningbyTan, Steinbach, Kumar© ... phone number in phone directory – Query a Web search engine for information about “Amazon”© Tan,Steinbach, Kumar Introduction to Data Mining 20 Clustering of S&P 500 Stock DataDiscovered ... Tan,Steinbach, Kumar Introduction to Data Mining 6 What is (not) Data Mining? What is Data Mining? – Certain names are more prevalent in certain US locations (O’Brien, O’Rurke, O’Reilly… in...
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Data Mining: Data Lecture Notes for Chapter 2 Introduction to Data Mining potx
... Tan,Steinbach, Kumar Introduction to Data Mining 20 Ordered Data'&Average Monthly Temperature of land and ocean© Tan,Steinbach, Kumar Introduction to Data Mining ... Tan,Steinbach, Kumar Introduction to Data Mining 44 Discretization Using Class LabelsEntropy based approach3 categories for both x and y 5 categories for both x and y© Tan,Steinbach, Kumar Introduction ... 123557815104ABCDE© Tan,Steinbach, Kumar Introduction to Data Mining 17 Chemical Data /0,1+1© Tan,Steinbach, Kumar Introduction to Data Mining 25 Duplicate Data"–Major...
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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 DataLecture Notes for Chapter 3 Introduction to Data MiningbyTan, Steinbach, Kumar© Tan,Steinbach, Kumar Introduction to Data Mining ... and 20 bins, respectively) © Tan,Steinbach, Kumar Introduction to Data Mining 29 Star Plots for Iris DataSetosaVersicolourVirginica© Tan,Steinbach, Kumar Introduction to Data Mining 31 OLAPOn-Line ... totalData Cube Example (continued)© Tan,Steinbach, Kumar Introduction to Data Mining 27 Parallel Coordinates Plots for Iris Data© Tan,Steinbach, Kumar Introduction to Data Mining 26 Visualization...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
... Tan,Steinbach, Kumar Introduction to Data Mining 15 Decision Tree Classification TaskDecision Tree© Tan,Steinbach, Kumar Introduction to Data Mining 37 Continuous Attributes: Computing Gini Index ... from:http://www.cse.unsw.edu.au/~quinlan/c4.5r8.tar.gz© Tan,Steinbach, Kumar Introduction to Data Mining 40 Splitting Based on INFO Information Gain: Parent Node, p is split into k partitions;ni is number of records in ... Test Data© Tan,Steinbach, Kumar Introduction to Data Mining 25 Splitting Based on Continuous Attributes© Tan,Steinbach, Kumar Introduction to Data Mining 46 Tree InductionGreedy strategy.–Split...
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Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf
... 90lb to 300lb• income of a person may vary from $10K to $1M© Tan,Steinbach, Kumar Introduction to Data Mining 40 1 nearest-neighborVoronoi Diagram© Tan,Steinbach, Kumar Introduction to Data ... one of the training examples exactly–Nearest neighbor• Uses k “closest” points (nearest neighbors) for performing classification© Tan,Steinbach, Kumar Introduction to Data Mining 43 Nearest ... Eggs=Yes) → Birds• (Taxable Income < 50K) ∧ (Refund=Yes) → Evade=No© Tan,Steinbach, Kumar Introduction to Data Mining 20 Instance EliminationWhy do we need to eliminate instances?–Otherwise,...
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Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf
... AlgorithmsLecture Notes for Chapter 6 Introduction to Data MiningbyTan, Steinbach, Kumar© Tan,Steinbach, Kumar Introduction to Data Mining 1 © Tan,Steinbach, Kumar Introduction to Data Mining 22 Subset ... BCDD:1© Tan,Steinbach, Kumar Introduction to Data Mining 13 Found to be InfrequentIllustrating Apriori PrinciplePruned supersets© Tan,Steinbach, Kumar Introduction to Data Mining 33 Alternative ... Tan,Steinbach, Kumar Introduction to Data Mining 47 Rule Generation for Apriori AlgorithmLattice of rulesPruned RulesLow Confidence Rule© Tan,Steinbach, Kumar Introduction to Data Mining...
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Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx
... RulesFoodBreadMilkSkim2%ElectronicsComputers HomeDesktop LaptopWheat WhiteForemost KempsDVDTVPrinter ScannerAccessory© Tan,Steinbach, Kumar Introduction to Data Mining 5 Handling Continuous AttributesDifferent kinds of rules:–Age∈[21,35) ... Tan,Steinbach, Kumar Introduction to Data Mining 3 Handling Categorical AttributesTransform categorical attribute into asymmetric binary variablesIntroduce a new “item” for each distinct attribute-value ... Tan,Steinbach, Kumar Introduction to Data Mining 31 Sequential Pattern Mining: DefinitionGiven: –a database of sequences –a user-specified minimum support threshold, minsupTask:–Find all...
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Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot
... Tan,Steinbach, Kumar Introduction to Data Mining 7 Partitional ClusteringOriginal Points A Partitional Clustering© Tan,Steinbach, Kumar Introduction to Data Mining 26 Importance of Choosing Initial ... LimitationsOriginal Points K-means Clusters© Tan,Steinbach, Kumar Introduction to Data Mining 38 Bisecting K-means Example© Tan,Steinbach, Kumar Introduction to Data Mining 6 Types of ClusteringsA ... within clusters © Tan,Steinbach, Kumar Introduction to Data Mining 40 Limitations of K-means: Differing SizesOriginal PointsK-means (3 Clusters)© Tan,Steinbach, Kumar Introduction to Data Mining...
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