1 Introduction 1.1 R website 1.2 Differences between R and S 1.3 Start with R 2 Data with R 2.1 Objects 2.2 Reading data in a file 2.3 Saving data 2.4 generating data 2.5 Manipulating objects 2.5.1 Creating objects 2.5.2 Operators 2.5.3 Accessing the values of an object: the indexing system 2.5.4 Accessing the values of an object with names 2.5.5 Arithmetics and simple functions 2.5.6 Matrix Computation

1. Introduction 2. Applications 3. Characteristics of Serial I/O 4. Characteristics of Parallel I/O 5. Introduction to MPI-2 Parallel I/O 6. MPI-2 File Structure 7. Initializing MPI-2 File I/O 8. Defining A View 9. Data Access - Reading Data 10.Data Access - Writing Data 11.Closing MPI-2 File I/O

l Chapter 2-Learning objectives Convert raw data into a data array Construct a frequency distribution a relative frequency distribution a cumulative relative frequency distribution Construct a stem-and-leaf diagram Visually represent data by using graphs and charts

一、什么是软件 1.软件是计算机系统中与硬件相互依存的另一部分,它是包括程序,数据及其相关文档的完整集合。 2.程序是按事先设计的功能和性能要求执行的指令序列(program 3.数据是使程序能正常操作信息的数据结构 (data structures一、什么是软件 1.软件是计算机系统中与硬件相互依存的另一部分,它是包括程序,数据及其相关文档的完整集合。 2.程序是按事先设计的功能和性能要求执行的指令序列(program 3.数据是使程序能正常操作信息的数据结构 (data structures) 4.文档是与程序开发,维护和使用有关的图文材料(documents一、什么是软件 1.软件是计算机系统中与硬件相互依存的另一部分,它是包括程序,数据及其相关文档的完整集合。 2.程序是按事先设计的功能和性能要求执行的指令序列(program一、什么是软件 1.软件是计算机系统中与硬件相互依存的另一部分,它是包括程序,数据及其相关文档的完整集合。 2.程序是按事先设计的功能和性能要求执行的指令序列(program) 3.数据是使程序能正常操作信息的数据结构 (data structures) 4.文档是与程序开发,维护和使用有关的图文材料(documents) 3.数据是使程序能正常操作信息的数据结构 (data structures) 4.文档是与程序开发,维护和使用有关的图文材料(documents 4.文档是与程序开发,维护和使用有关的图文材料(documents

Chapter 3 Objectives After you have read and studied this chapter, you should be able to Select proper types for numerical data. Write arithmetic expressions in Java. Evaluate arithmetic expressions using the precedence rules. Describe how the memory allocation works for objects and primitive data values. Write mathematical expressions using methods in the Math class

 4.1 The basic concept of association rules  4.2 Low-dimensional binary association rules  4.3 Multi-level association rules  4.4 Multidimensional association rules  4.5 The Affinity analysis based on the association mining

电子科技大学：《数据分析与数据挖掘 Data Analysis and Data Mining》课程教学资源（课件讲稿）Lecture 04 Association Rules of Data Reasoning（Apriori Algorithm、Improve of Apriori Algorithm）

ISA-based data acquisition and control board accept up to 8 analog inputs, produce 2 analog outputs, accept up to 67 digital (switch) inputs address, data and select lines. In addition, a spare AND gate and two spare NOR gates are made available, along with a small breadboarding area

Ch. 2 Probability Theory 1 Descriptive Study of Data 1.1 Histograms and Their Numerical Characteristics By descriptive study of data we refer to the summarization and exposition(tab- ulation, grouping, graphical representation) of observed data as well as the derivation of numerical characteristics such as measures of location, dispersion and shape

1 The Role of Algorithms in Computing 2 Getting Started 3 Growth of Functions 4 Divide-and-Conquer 5 Probabilistic Analysis and Randomized Algorithms 6 Heapsort 7 Quicksort 8 Sorting in Linear Time 9 Medians and Order Statistics 10 Elementary Data Structures 11 Hash Tables 12 Binary Search Trees 13 Red-Black Trees 14 Augmenting Data Structures 15 Dynamic Programming 16 Greedy Algorithms 17 Amortized Analysis 18 B-Trees 19 Fibonacci Heaps 20 van Emde Boas Trees 21 Data Structures for Disjoint Sets 22 Elementary Graph Algorithms 23 Minimum Spanning Trees 24 Single-Source Shortest Paths 25 All-Pairs Shortest Paths 26 Maximum Flow 27 Multithreaded Algorithms 28 Matrix Operations 29 Linear Programming 30 Polynomials and the FFT 31 Number-Theoretic Algorithms 32 String Matching 33 Computational Geometry 34 NP-Completeness 35 Approximation Algorithms