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What ’ s New in SAS ® Enterprise Miner TM 5 . 2
| Content Provider | Semantic Scholar |
|---|---|
| Author | Thompson, Wayne Duling, Nc David |
| Copyright Year | 2006 |
| Abstract | SAS Enterprise Miner 5.2 for SAS 9.1.3 provides many new enhancements to help both business analysts and statisticians carry out the data mining process more efficiently and with greater control and flexibility. A major focus of this release is to deliver new interactive statistical and visualization tools. The tool set has been expanded to include the new SOM/Kohonen, Decisions, and Replacement nodes. Major improvements have been made to nearly every other node. System administration has been enhanced through the use of the SAS Analytics Platform, which provides both thin-client distribution and server management functionality. Grid processing is now supported to manage the workload created by a large group of data miners. Customers will find many reasons to upgrade to SAS Enterprise Miner 5.2. INTRODUCTION SAS Enterprise Miner 5.2 is the SAS solution for data mining, providing unparalleled model development and deployment opportunities. Delivered as a distributed client-server system, Enterprise Miner is well suited for joint workgroup collaborations and large data mining applications. Enterprise Miner's process flow diagram eliminates the need for manual coding and reduces the model development time for both business analysts and statisticians (see Figure 1). The system is customizable and extensible; users can integrate their code and build new nodes for redistribution. This paper provides an overview of the major enhancements of the latest release, Enterprise Miner 5.2 for SAS 9.1.3, delivered in November of 2005. Figure 1. SAS Enterprise Miner 5.2 Graphical User Interface. Projects are persisted on the analytical server enabling data miners to collaborate on the analyses. The process flow diagram is a self-documenting template that can be easily updated or applied to new problems and shared with other analysts. DATA VISUALIZATION AND MODIFICATIONS Data exploration and preparation are important data mining tasks used to reveal systematic patterns and derive new features to ultimately help the analyst better understand, analyze, and model the data. SAS Enterprise Miner 5.2 delivers new interactive statistical and visualization tools to help the data miner better search for trends and anomalies and prepare the data in a manner more useful for model development. Data Mining and Predictive Modeling SUGI 31 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www2.sas.com/proceedings/sugi31/082-31.pdf |
| Alternate Webpage(s) | https://support.sas.com/resources/papers/proceedings/proceedings/sugi31/082-31.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
