Difference between revisions of "ISSS608 2018-19 T1 Assign Hou Xuelin"
Jump to navigation
Jump to search
(Created page with "== assignment test ==") |
|||
| Line 1: | Line 1: | ||
| − | == | + | <!-- BANNER --> |
| + | |||
| + | [[Image:Articles-public-mineral-baths-sofia-bulgaria-dreamstime.jpg|left|1200px]] | ||
| + | |||
| + | <!--MAIN HEADER --> | ||
| + | {|style="background-color:#1B338F;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" | | ||
| + | | style="font-family:Century Gothic; font-size:110%; solid #000000; background:#6A5ACD; text-align:center;" width="25%" | | ||
| + | ; | ||
| + | [[T1_Assign_Hou_Xuelin_Overview| <font color="#FFFFFF">Overview</font>]] | ||
| + | |||
| + | | style="font-family:Century Gothic; font-size:110%; solid #1B338F; background:#6A5ACD; text-align:center;" width="25%" | | ||
| + | ; | ||
| + | [[T1_Assign_Hou_Xuelin_Task1| <font color="#FFFFFF">Task1</font>]] | ||
| + | |||
| + | | style="font-family:Century Gothic; font-size:110%; solid #1B338F; background:#6A5ACD; text-align:center;" width="25%" | | ||
| + | ; | ||
| + | [[T1_Assign_Hou_Xuelin_Task1| <font color="#FFFFFF">Task2</font>]] | ||
| + | |||
| + | | style="font-family:Century Gothic; font-size:110%; solid #1B338F; background:#6A5ACD; text-align:center;" width="25%" | | ||
| + | ; | ||
| + | [[T1_Assign_Hou_Xuelin_Task1| <font color="#FFFFFF">Task3</font>]] | ||
| + | |} | ||
| + | <br/> | ||
| + | |||
| + | == Background == | ||
| + | |||
| + | |||
| + | |||
| + | == Motivation == | ||
| + | |||
| + | |||
| + | |||
| + | |||
| + | |||
| + | == Objectives == | ||
| + | |||
| + | |||
| + | |||
| + | == Data Source == | ||
| + | |||
| + | |||
| + | |||
| + | == Methodology == | ||
| + | |||
| + | ==== Exploratory Analysis ==== | ||
| + | |||
| + | |||
| + | |||
| + | ==== Explanatory Analysis ==== | ||
| + | |||
| + | |||
| + | ==== Predictive Analysis ==== | ||
| + | |||
| + | == Application Libraries & Packages == | ||
| + | {|class="wikitable" | ||
| + | |- | ||
| + | ! Package Name !! Descriptions | ||
| + | |- | ||
| + | | ''TSrepr'' || Methods for representations (i.e. dimensionality reduction, preprocessing, feature extraction) of time series to help more accurate and effective time series data mining. Non-data adaptive, data adaptive, model-based and data dictated (clipped) representation methods are implemented. Also min-max and z-score normalisations, and forecasting accuracy measures are implemented. | ||
| + | |- | ||
| + | |||
| + | |} | ||
| + | |||
| + | == References == | ||
Revision as of 22:18, 28 October 2018
|
|
|
|
|
Contents
Background
Motivation
Objectives
Data Source
Methodology
Exploratory Analysis
Explanatory Analysis
Predictive Analysis
Application Libraries & Packages
| Package Name | Descriptions |
|---|---|
| TSrepr | Methods for representations (i.e. dimensionality reduction, preprocessing, feature extraction) of time series to help more accurate and effective time series data mining. Non-data adaptive, data adaptive, model-based and data dictated (clipped) representation methods are implemented. Also min-max and z-score normalisations, and forecasting accuracy measures are implemented. |
