可视化数据挖掘 数据可视化 数据挖掘结果可视化 数据挖掘处理过程可视化 交互式的可视化挖掘 数据可视化 数据挖掘结果可视化 Visualization of data mining results in SAS Enterprise Miner: scatter plots Visualization of association rules in MineSet 3.0 Visualization of a decision tree in MineSet 3.0 Visualization of...
decision-making from the data is not possible; need knowledge derived from the stored data 0 Data for multiple data sources and multiple domains -Medical, Financial, Military, etc. 0 Need to analyze the data -Support for planning (historical supply and demand trends) -Yield...
行的)files, sound files, image files, data compression(压缩) files. FTP: the file transfer protocol FTP: the file transfer protocol transfer file to/from remote host transfer file to/from remote host client/server model client/server model client: client: side that initiates transfer (either...
Mixed Reality (MR) Anywhere between the extrema of the virtuality continuum. The virtuality continuum extends from completely real through to the completely virtual environment with augment reality and augment virtuality (predominantly virtual space where physical objects/people are dynamically intergrated) r...
“data warehouse” Copy data from various OLTP systems Optimize data organization, system tuning for OLAP Transactions aren’t slowed by big analysis queries Periodically refresh the data in the warehouse * HD-ITR * Chapter 1 Introduction 1.1 From database to data warehouse 1.2 What is a data ...
可视化(visualization):用图代替兆字节(Megabyte)的输出。 Databases: concentrate on large-scale (non-main-memory) data. AI (machine-learning): concentrate on complex methods, small data. Statistics: concentrate on models. 模型和过程分析:对数据库人员说,数据挖掘是过程分析的极端表现形式;对于统计学人员,...
Big data visualization tools: Value ? Big data is meaningless if it does not provide value toward some meaningful goal Big Data: 6V in Summary Transforming Energy and Utilities through Big Data & Analytics. By Anders Quitzau@IBM Other V’s ? Variability - Variability refers to data whose ...
Visualization: something better than megabyte files of output. Cultures Databases: concentrate on large-scale (non-main-memory) data. AI (machine-learning): concentrate on complex methods, small data. Statistics: concentrate on models. Models vs. Analytic Processing To a database person, data-...
–Howtoconstructthemodelforaproblem: 1.Anassumption 2.Estimatingthecoefficientsinthemodel 2020-7-25LabofSemanticComputingand DataMiningofUSTC 3 How? 就是在计算机和人的共同作用下,按照一定的方法组织和存储信息,并通过人机对话从计算机存储的大量数据中自动输出用户所需的那部分信息的过程。
There are many potential bene?ts of variable and feature selection: facilitating data visualization and data understanding, reducing the measurement and storage requirements, reducing training and utilization times, defying the curse of dimensionality to improve prediction performance. Some methods put more...