17.1 Introduction 17.2 The Data Hierarchy 17.3 Files and Streams 17.4 Creating a Sequential File 17.5 Reading Data from a Sequential File 17.6 Input/Output of Objects

I. Introduction; II. Objectives; III. Data for Ratemaking; IV. Premium Data; V. Exposure Units; VI. The Expected Effective Period; VII. Ingredients; VIII. Rate Changes

《机器学习》课程教学资源：《Python数据科学手册》参考书籍PDF电子版（2016）Python Data Science Handbook，Essential Tools for Working with Data，Jake VanderPlas

• Scientific Visualization (scivis) • Engineering, computational fluid mechanics, mathematics to medical and earth sciences • Data coming from numerical simulations and measurements of physical quantities • Information Visualization (infovis) • More abstract of data • Generic graph, trees to database tables, text and computer software • Present a succinct overview of inforvis methods and techniques

• (Very short) Introduction to Austrian forests and useful data in Austria for YASSO07 • Background: possibilities to measure and calculate changes in soil carbon; advantages and draw-backs; why use models; why use YASSO07? • Introduction to YASSO07; • Data requirements for YASSO07; • Using YASSO07; • examples of applications and analyses; • conclusions

《Data Warehousing & Data Mining》课程教学资源（PPT讲稿）Ch 2 Discovering Association Rules

1 Cloud data 2 TenantGuard 3 A Data Obliviate File System for Intel SGX

• Scientific Goals with BFOSC • CCD • Observation and Strategy • BFOSC Data Reduction

▪ Structure of XML Data ▪ XML Document Schema ▪ Querying and Transformation ▪ Application Program Interfaces to XML ▪ Storage of XML Data ▪ XML Applications

▪ Complex Data Types and Object Orientation ▪ Structured Data Types and Inheritance in SQL ▪ Table Inheritance ▪ Array and Multiset Types in SQL ▪ Object Identity and Reference Types in SQL ▪ Implementing O-R Features ▪ Persistent Programming Languages ▪ Comparison of Object-Oriented and Object-Relational Databases