Decision Support Systems Data Warehousing Data Mining Classification Association Rules Clustering

 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）

6.001 Structure and Interpretation of Computer Programs. Copyright o 2004 by Massachusetts Institute of Technology 6.001 Notes: Section 8.1 Slide 8.1.1 Review: data abstraction In this lecture we are going to introduce a new data type, a data abstraction consists of: specifically to deal with symbols. This may sound a bit odd, but

1 Storage devices Existing devices Hierarchical storage 2 Distributed storage Data distribution Data federation 3 Parallelizing files’ storage Striping Introduction to Map/Reduce 4 Conclusion

Parallel DBMS technologies Proposed in the late eighties Matured over the last two decades Multi-billion dollar industry: Proprietary DBMS Engines intended as Data Warehousing solutions for very large enterprises Hadoop Spark UC Berkeley

时间序列数据或截面数据都是一维数据。例如时间序列数据是变量按时间得到的数据；截面数据是变量在截面空间上的数据。面板数据是同时在时间和截面上取得的二维数据。所以，面板数据（panel data）也称时间序列截面数据（time series and cross section data）或混合数据（pool data）

Ch. 11 Panel Data model Data sets that combine time series and cross sections are common in econo- metrics. For example, the published statistics of the OECD contain numerous series of economic aggregate observed yearly for many countries. The PSID is a studies of roughly 6000 families and 15000 individuals who has been interviews periodically from 1968 to the present

• Struct • Union • Alignment • Pointer – Declaration – referencing, deferencing – memory allocation, memory free • Buffer overflow • Suggested reading • Stack evaluation • Data movement • Set special data • Arithmetic operation • Comparison • Suggested reading

MATLAB® is a high-level language that includes matrix-based data structures, its own internal data types, an extensive catalog of functions, an environment in which to develop your own functions and scripts, the ability to import and export to many types of data files, object-oriented programming capabilities, and interfaces to external technologies such as COM, Java, programs written in C and Fortran, and serial port devices