【智能系统】基于SQL-on-Hadoop查询引擎的日志挖掘及其应用

【综述】在线社交网络挖掘与搜索技术研究

智能系统：一种基于OCC模型的文本情感挖掘方法

人工智能基础：信息熵度量的离群数据挖掘算法

知识工程：挖掘同对象信息元的传导知识

• Data Mining – From data warehousing to data mining. – Data pre-processing and data mining life-cycle. – Association and sequence analysis; classification and clustering. – Fuzzy Logic, Neural Networks, and Genetic Algorithms. – Mining Complex Data. • OLAP mining; spatial data mining; text mining; time-series data mining; web mining; visual data mining. • Data warehousing. – Introduction; basic concepts of data warehousing; data warehouse vs. Operational DB; data warehouse and the industry. – Architecture and design; two-tier and three￾tier architecture; star schema and snowflake schema; data capturing, replication, transformation and cleansing. – Data characteristics; metadata; static and dynamic data; derived data. – Data Marts; OLAP; data mining; data warehouse administration

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

• Web采集 • 采集器 • 连接服务器 • 链接分析 • 锚文本 • 链接分析：Pagerank • 链接分析：HITS

•从文本分类图像分类 • 如何从图像中获取全局特征？ • 颜色特征、纹理特征、形状特征 • 如何从图像中获取局部特征？ • SIFT: Scale-invariant feature transform •图像分类的几个发展阶段 • Low-level Modelling • Semantic Modelling • Sparse Coding • Deep Learning

• 什么是Graphical Model • 定义、示例 • Representation、Inference、Learning • 主题模型与分类 • LSA (Latent Semantic Analysis), 1990 • pLSA (probabilistic Latent Semantic Analysis), 1999 • LDA(Latent Dirichlet Allocation), 2003 • Hierarchical Bayesian model • 主题模型的R语言实现示例