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Abstract

KNIME Analytics Platform is the open source software for creating data science tools. Intuitive, open, and continuously integrating new developments, KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone.

KNIME let users connect nodes, where data related functions are implemented, to realize a variety of data analytics.

We also adopt KNIME Analytics Platform as a standard tool in our data analysis seminar.

Abstract

What KNIME is capable of ...

Manipulation Read, concatenate, divide, row and column operations, export to databases or files, and so on.
Calculation Any kind of statistics, such as max, min, average, standard deviation, pivot table, can be computed.
Visualization Scatter, line, bar, pie, and many more chart styles are available.
Modeling Decision tree, regression, clustering and many other modeling methods are pre-implemented. Also, many other open source tool such as Python can be incorporated in KNIME workflow.

KNIME comes with more than 2500 nodes, which allow us to realize any of desired analysis by combining them in workflows.

About KNIME

Open source platform

  • Anyone can download and start using KNIME Analytics Platform at no cost.
  • As your project expands, it can be scaled with KNIME Server.

Easy operation

  • KNIME Provide interactive GUI where user puts and connects Nodes. No coding is neccessary.

Transparency

  • Data analytics process are visually understandable as Node icon summarizes its operation.

GUI examples

Workflow

Data flow from loading data to modeling

Workflow

Scatter plot

Suggests correlation between items.
Plots can be colored by labels, which enable us to distinguish trends by features.

相関グラフの画面イメージ

Decision tree analysis

Discover valid conditions.
Identify critical feature conditions. For instance, it extracts a certain condition of some products to cause a failure. The condition is expressed as a collection of logical formulas.

決定木分析の画面イメージ

AI & BigData Solution "AiValueUp"