Wednesday, May 26, 2010

PMML in Action: A practical look at PMML, the standard to represent data mining models.

It is our pleasure to announce the publication of a new (first) book on PMML:

PMML (Predictive Model Markup Language) is the de facto standard used to represent and share predictive analytic solutions between applications. This enables data mining scientists and users alike to easily build, visualize, and deploy their solutions using different platforms and systems. This book presents PMML from a practical perspective. It contains a variety of code snippets so that concepts are made clear through the use of examples.

PMML in Action is a great way to learn how to represent your predictive models through a mature open standard. The book is divided into six parts, taking you in a PMML journey in which language elements and attributes are used to represent not only modeling techniques but also data transformations.

With PMML, users benefit from a single and concise standard to represent data and models, thus avoiding the need for custom code and proprietary solutions.

You too can join the PMML movement! Unleash the power of predictive analytics and data mining today! Available now on


"The very first book that covers the industry standard for transferring and integrating predictive models across systems, this is a milestone for predictive analytics. If you want the long and short on engineering for versatility in how predictive models can be deployed and put to work, get started by curling up with this book."
Eric Siegel, Ph.D.
President, Prediction Impact, Inc.
Conference Chair, Predictive Analytics World

"Open standards facilitate innovation and progress (web is a great example). PMML (the Predictive Model Markup Language) is an open standard for predictive analytics and data mining, developed over more than 12 years and supported by most industry leaders. This easy to read book covers data transformations, many modeling methods (Associations, Clustering, Decision Trees, Neural Nets, Regression, SVM, and more), model ensembles, and verification. This book is your essential guide to PMML !"
Gregory Piatetsky, Ph.D.
Editor KDNuggets, Founder KDD/SIGKDD

"Next generation enterprise are going to be driven by analytics, especially predictive analytics. Sharing and rapidly deploying predictive analytic models is essential and PMML is the open standard that delivers the interoperability and agility that these predictive enterprises need."
James Taylor
CEO, Decision Management Solutions
Co-author of “Smart (Enough) Systems: How to Deliver Competitive Advantage by Automating Hidden Decisions ”

PMML in Action may be destined to become an analog to the famous Kernighan and Richie book, "The C Programming Language", published in 1978. This book (affectionately known as K&R) became the standard guide for ANSII C programming practice. I expect that "PMML in Action" will function likewise in the burgeoning development of PMML in analytical tools now, and in the future. It is the "cookbook" for PMML programming. Julia Child made French cuisine kiss-simple for housewives to create. Now, programmers can follow the descriptions and practices in this book to implement analytical solutions in PMML as easily and efficiently as Julia enabled a housewife to make a French soufflé."
Robert A. Nisbet, Ph.D.
Co-author of “Handbook of Statistical Analysis & Data Mining Applications”

Thursday, May 20, 2010

ADAPA 3.0 Released: Predictive Analytics + Business Rules

Zementis is constantly adding new features to ADAPA. In its latest 3.0 release (May 21, 2010), it takes a giant step into becoming a platform for all your decision needs since it now offers not only the ability to execute predictive models, but also business rules (on the Cloud). The new release also offers many improvements to the web console and lots of new PMML features.

ADAPA 3.0 on the Amazon Cloud is also available in three new high-memory instance types. In addition, all types (old and new) can now be launched in the US, EU, and Asia-Pacific regions.

All the new and exciting features in this 3.0 release are described below.

Predictive Analytics + Business Rules on the Cloud

With ADAPA 3.0, the integration of predictive analytics and rules is seamless. Simply put, ADAPA allows both data-driven and expert knowledge to be combined into a single and concise solution, executed in real-time or in batch-mode. This feature was previously available for on site deployments of ADAPA, but now it also available for ADAPA on the Cloud!

Customized PMML Extensions on the Cloud
You can now easily create and upload to ADAPA your own custom predictive model components. Are you using a transformation not supported in PMML? Not a problem. Just write it in Java, upload it to ADAPA, and use it in your models just as you would use a standard PMML transformation.

PMML Improvements

  • Model Verification: ADAPA now supports the PMML element for Model Verification. This feature adds yet another important PMML element to the already extensive list of elements supported by ADAPA. Model verification via a CSV file continues to be supported (click here for more).
  • Data Types: Enhanced support for models with data type incompatibilities and value down-casting.
  • PMML Conversion: Several PMML converter and corrector improvements, including support for TIBCO models. ADAPA 3.0 and its converter is also tested for compatible models from SAS, IBM SPSS, KXEN, KNIME, RapidMiner, R and Rattle, Microsoft SSIS, Statistica, Microstrategy, Pervasive DataRush, and more.
  • Performance: A number of performance enhancements. ADAPA now is faster than ever!

Web Console Improvements

The web console of ADAPA 3.0 includes several functionality and usability improvements, such as:
  • Ability to upload custom resources: These include non-standard PMML transformations, mapping or look-up tables, and custom data models used in business rules.
  • Dependencies tracking: You are now able to see the dynamic tracking and update of dependencies across models, rules, and custom resources.
  • Enhanced upload capabilities: You can now upload multiple files at once, watch the progress of the upload, and even, stop the upload if necessary.
  • Similar enhanced scoring capability: You can now watch the progress or cancel the uploading and processing of a large data file.

Control Center Improvements
For users of ADAPA on the Amazon Cloud, the 3.0 release is being made available through the control center in three new "High-Memory" instance types: "Extra Large", "Double Extra-Large", and "Quadruple Extra Large". For pricing, please refer to the ADAPA on the Cloud pricing page.

With this release, all existing and new "High-Memory" instance types are available for launching in the Asia-Pacific (Singapore) region, in addition to US and EU regions.

Sample Files

Besides all the new features and improvements listed above, ADAPA 3.0 also comes with a complete set of sample files which include predictive models, rule sets, resource files, reports, as well as test files so that you can get up and running with your decisioning solution right away. The sample files can be downloaded from the help page. In the same page you will also find links to all the ADAPA documentation including the "ADAPA Solutions Guide" which describes how the sample files come together into a single and powerful predictive decisioning solution, which you can make it your own.

Try ADAPA 3.0 today!

If you are already a subscriber, launch your instances. If not, it is easy to subscribe to ADAPA on Amazon. Sign up now!

Wednesday, May 19, 2010

Predictive Analytics and Rules = Enhanced Decisioning

This posting has been moved to the Zementis Support Site. You can still access it by clicking HERE.

Monday, May 17, 2010

Predictive Analytics in your iPhone

It was just a matter of time!

You can now execute predictive models directly from your iPhone. Yes, very convenient given that now predictions are made available to you no matter where you are.

This is what the new iPhone web app developed by Dymatrix offers to DynaMine customers: A mobile real-time next best offer system powered by ADAPA. With this web app, DynaMine users can leverage the power of predictive models deployed on ADAPA instantly.

The web app is the fruit of a recent partnership between Zementis and Dymatrix to jointly deliver operational predictive analytics to a variety of companies. Based in Stuttgart, Germany, Dymatrix is a premier consulting firm with broad expertise in the implementation of business analytics technologies, processes and solutions, such as automated adaptive model training and scoring. Its DynaMine framework offers automated adaptive model training and model management capabilities with a certified interface to the Zementis ADAPA decision engine for instant deployment and high-performance scoring.

The ability to efficiently move models between platforms is a testament to the success of PMML (Predictive Model Markup Language) as the conduit in which true interoperability becomes a reality ... and yes, that now includes your iPhone.

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