The Top 10 New Features in KNIME 2.8. Rosaria Silipo KNIME.com AG, San Francisco

Transcription

1 The Top 10 New Features in KNIME 2.8 Rosaria Silipo KNIME.com AG, San Francisco

2 KNIME 2.8 KNIME 2.8 was out end of July 2013 Many New Features Documentation available at: My Top 10 New features in KNIME 2.8

3 Current Date/Time Current Date/Time in Time Generator Node

4 New WebPortal New Look and Feel URLs to run workflows with parameters Possibility of nested workflow calls

5 New WebPortal Step 1 Select workflow to run Step 2 Run settings and first workflow parameters Step 3,... More workflow parameters Last Step See results

6 URL Addresses for WebPortal Workflow Path Flow Variable Values address Auto-run parameter YouTube video: What is new in KNIME WebPortal 3.7

7 Improved Excel Integration Improved Performance of the Excel Reader node (XLS Reader). Preview and Execution are now much faster.

8 XLS Writer Node Open xls File after Execution Multi-sheet Writing Column Selection

9 XLS Writer: Image Writing

10 New XLS Nodes XLS Sheet Appender Read XLS Sheet Names Appends a new spreadsheet to an existing excel file Provides the spreadsheet names of an excel file at the output port

11 Database Nodes Default JDBC Drivers Time Zone

12 Zip/Unzip Nodes Unzip files from an archive and reports the file paths at the output port Zips a list of files, whose paths are taken from a data column

13 OSM Nodes visualize points on a map based on the longitude and latitude coordinates OSM Integration The 50 largest cities of the world

14 The New Math Formula Node Similar to the String Manipulation Node Now flow variable values can be inserted in math formula

15 Error Handling Default Data available when main branch fails (ex: an error message)

16 Lag Column Node (Lag) x(t) x(t-1) x(t-2) x(t-lag) x(t-n) x(t), x(t-1),..., x(t-lag) x(t-1), x(t-2),..., x(t-lag-1) x(t-2), x(t-3),..., x(t-lag-2) Example: Values for the whole past week (Lag=7 on daily values)

17 Lag Column Node (Lag Interval) x(t) x(t-1) x(t-p) x(t-n) x(t), x(t - Lag Interval) x(t-1), x(t Lag Interval 1) x(t-2), x(t Lag Interval 2) Example: Values from every Monday (Lag Interval=7 on daily values)

18 Lag Column Node (Lag * Lag Interval) x(t) x(t-1) x(t-p) x(t-2p) x(t), x(t - Lag Interval), x(t 2* Lag Interval),, x(t Lag*Lag Interval) x(t-1), x(t - Lag Interval-1), x(t 2* Lag Interval-1),, x(t Lag*Lag Interval-1) Example: Values from every Monday for last 4 weeks (Lag Interval=7, Lag=4)

19 Lag Column Node The Lag Column Node opens the way to time series analysis. Lag Interval = 7 * 24 hours For seasonality correction Lag = n

20 R R is a very good data analytics software: Very extensive and impressive qulity graphic library Cutting edge algorithms But It is a pain to learn and debug

21 Improved R Integration New Interactive R Editor for easier debugging New R(Interactive) category in KNIME Labs with Interactive R Editor New R Source node

22 Reuse an R script template Interactive R Editor Syntax Highlight R Variables Inspection Create an R script template R script evaluation results Display temporary plot Temporary Plot

23 New R(Interactive) category

24 New R Source Node This node just reads data. Library( foreign ) and library( Hmisc ) can import all data analyitcs formats: SAS, SPSS, Stata, etc...

25 Other Improvements PMML Ensemble Learning Text Processing Network Mining New QuickForms with new GUIs Additional IO nodes