Peter McGonigal, Solutions Architect, XENON Systems Pty Ltd

© 2017 XENON Systems Pty Ltd. All rights reserved.

Understanding your data, discovering patterns, predict

outcomes, and prescribe actions using MINESET

Introducing MINESET

Peter McGonigalSolutions Architect – XENON Systems Pty Ltd

[email protected] +61 3 9549 1111

mailto:[email protected]


• Very quick description of MINESET (~3 mins)

• Show you how to use MINESET -using a case study dataset

• Q & As

Agenda


What is MINESET ?• MINESET is a Data Mining Technology

– Uses MACHINE LEARNING

– Tightly couples DATA ANALYTICS with DATA VISUALISATION

– EXPLORE datasets, finds patterns & relationships hidden in data

• Design GOAL : – To make MINESET EASY-TO-USE & as INTUITIVE as possible

– Allow ALL USERS (from novice to experienced Data Scientists) to Explore Data & Discover Insights

– Gain VALUE hidden in data

• Built for the Cloud (Private or Public):– Web-based front-end for easy use and collaboration

– As a Service or as a On-Premise resource


MINESET - Visual Data Mining

What-if

Naïve-Bayes results, interactive scoring and analysis

Importance

See what influences the outcome of a variable

Clustering

Discover naturally occurring groupings in the data

AssociationFrequent co-occurring events and relationship rules

Column Graph

Graph of mutual influence among attributes

Decision orRegression Tree

Hierarchical predictive analytics


Telco “churn” case study

• Based on fictitious Telecommunications dataset

• Contains details about the Telco’s customers

• Aim to identify types of customers who are leaving (who is churning)

• Practical demonstration of MINESET…….


MINESET – login screen


MINESET – select input dataset screen


MINESET – select input dataset to analyse


MINESET – preview and OK dataset


MINESET – loaded dataset into MINESET, it has 21 columns and 5000 rows


MINESET – able to check data item statistics


MINESET – review data rows (customer details & calling behavior)


MINESET – explore data & find what influences outcome of CHURN


MINESET – factors that influence outcome of CHURN are …


MINESET – now plot using these factors, showing areas of CHURN


MINESET – focusing in on areas of CHURN


MINESET – focus in on another area of CHURN


MINESET – use “machine learning” to predict outcome of CHURN


MINESET – build predictive model using a decision tree


MINESET – use “machine learning” to predict outcome of CHURN


MINESET – can export predictive model as Java/C++/python code


MINESET – using another similar dataset, can apply model to predict CHURN


MINESET – model has added predicted CHURN column in dataset


• MINESET will enable you to:– Input data from a variety of different sources/different formats

– Identify trends & relationships hidden in all types of data (e.g. Retail, Bio-Medical, Banking and Finance, Telco’s/Utilities/Service Providers, Manufacturing, etc…)

– Build predictive models that can be applied to other datasets

– Provide “what-if” analysis and a lot more…

– In the future – will be made extensible – enabling users to add plug-ins to MINESET

14-day free trial on MINESET –

please see XENON Systems

Thank-you

Q & As

In Closing…

Peter McGonigal, Solutions Architect, XENON Systems Pty Ltd

Data & Analytics

Transcript of Peter McGonigal, Solutions Architect, XENON Systems Pty Ltd