Thursday, January 20, 2011

ADAPA in the Cloud - Full Feature List

Broad support for predictive algorithms
ADAPA supports an extensive collection of statistical and data mining algorithms. These are:


  • Ruleset Models
  • Clustering Models (Distribution-Based, Center-Based, and 2-Step Clustering)
  • Decision Trees (for classification and regression) together with multiple missing value handling strategies (Default Child, Last Prediction, Null Prediction, Weighted Confidence, Aggregate Nodes)
  • Naive Bayes Classifiers
  • Association Rules
  • Neural Networks (Back-Propagation, Radial-Basis Function, and Neural-Gas)
  • Regression Models (Linear, Polynomial, and Logistic) and General Regression Models (General Linear, Ordinal Multinomial, Generalized Linear, Cox)
  • Support Vector Machines (for regression and multi-class and binary classification)
  • Scorecards (including reason codes and point allocation for categorical, continuous, and complex attributes)
  • Multiple Models (Segmentation, Ensembles - including Random Forest Models, Chaining and Model Composition)

Model interfaces: pre- and post-processing
Additionally, ADAPA supports a myriad of functions for implementing data pre- and post-processing. These include:
  • Text Mining
  • Value Mapping
  • Discretization
  • Normalization
  • Scaling
  • Regular Expressions
  • Logical and Arithmetic Operators
  • Lookup Tables
  • Custom Functions
and much much more

If you think of anything ADAPA cannot do or something else you need to do in terms of data manipulation, let us know.

Automatic conversion (and correction) for older versions of PMML
ADAPA consumes model files that conform to PMML, version 2.0 through 4.2. If your model development environment exports an older version, ADAPA will automatically convert your file into a 4.2 compliant format. It will also correct a number of common problems found in PMML generated by some popular modeling tools, allowing the models to work as intended.

Web-based management and interactive execution of predictive models and business rules
Model management: Models and rule sets are deployed and managed through an intuitive, Web-based management console, the ADAPA Console.
  • Model verification: The ADAPA Console includes a model validation test, allowing models to be verified for correctness. By providing ADAPA a test file containing input data and expected results for a model, the engine will report any deviations from expected results, greatly enhancing traceability of errors and debugging of model deployment issues. The console also provides easy access to our rules testing framework in which business rules are submitted to regression testing and acceptance.
  • Batch-scoring: The console also provides functionality to upload a (compressed) CSV data file and batch-scores it against any of the deployed models. Results are returned in the same format and may be downloaded for further processing and visualization.

Simplified integration via SOA
Service Oriented Architecture (SOA) principles simplify integration with existing IT infrastructure. Since ADAPA publishes all deployed models and rule sets as a Web-Service, you can score data records from within your own environment. With the simple execution of a web service call (SOAP or REST), you are able to leverage the power of predictive models and business rules on-demand or in real-time.

Data scoring from inside Excel
The ADAPA Add-in for Microsoft Office Excel 2007, 2010 and 2013  allows you to easily score data using ADAPA in the Cloud. Once the Add-in is installed, all you need to do is to select your data in Excel, connect to ADAPA and start scoring right away. Your predictions will be made available as new columns.

On-demand predictive analytics solution
ADAPA in the Cloud is a fully hosted Software-as-a-Service (SaaS) solution. You only pay for the service and the capacity that is used, eliminating the necessity for expensive software licenses and in-house hardware resources. As the business grows, ADAPA in the Cloud provides a cost-effective expansion path, for example, by adding multiple ADAPA instances for scalability or failover. The SaaS model removes the burden for you to manage a scalable, on-demand computing infrastructure.
At any given time, launch one or more instances using the ADAPA Control Center Web interface. For each instance, select the most appropriate instance type: “large”, “high-CPU” or “high-IO”.

Private instance for all your decisioning needs
We provide you with a single-tenant architecture. The service is implemented as a private, dedicated instance of ADAPA that encapsulates your predictive models and business rules. Only you have access to your private ADAPA instance(s) via HTTPS. Your decisioning files and data never share the same engine with other clients. You launch and terminate your dedicated ADAPA instances through the secure ADAPA Control Center.

Trusted, secure, scalable cloud infrastructure
Zementis leverages Amazon Web Services providing on-demand infrastructure for ADAPA on the Cloud. The Amazon Elastic Compute Cloud (Amazon EC2) offers utility computing with virtually unlimited scalability. Billing and subscription management are handled through Amazon. Payment information remains secure and confidential while enjoying the convenience of using your existing Amazon.com account. Yes, the same account you use to buy book.

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