PMC20 METHODSTO SUMMARIZE COMPLICATED DATASETS CONTAINING STRUCTURED, NOMINAL DATA USING SAS

Interpretation of Nominal Compounds Using Structured Knowledgebases

This thesis investigates different approaches proposed in literature to identify the semantic relations in nominal compounds. Nominal compounds have received a great deal of attention in the last decade, owing to two main reasons the increasing frequency with which nominal compounds occur in language, and the challenges they pose in most natural language processing applications like information...

Data Preparation for Data Mining Using SAS

Working Efficiently with Large SAS® Datasets

Many SAS users experience challenges when working with large SAS datasets having millions of rows, hundreds of columns and size close to a gigabyte or even more. Often it takes enormous time to process these datasets which can have an impact on delivery timelines. Also, storing such datasets may cause shortage of permanent storage space or can exhaust the available memory. In order to handle th...

LinkSUM: Using Link Analysis to Summarize Entity Data

The amount of structured data published on the Web is constantly growing. A significant part of this data is published in accordance to the Linked Data principles. The explicit graph structure enables machines and humans to retrieve descriptions of entities and discover information about relations to other entities. In many cases, descriptions of single entities include thousands of statements ...

Healthcare Data Manipulation and Analytics Using SAS

Increasing application of information technology in the healthcare delivery system helps healthcare industry gain valuable knowledge from data, and use this insight to recommend action or guide decision making, and improve quality of patient care and practice of medicine. There is more data available than ever before. How can it truly benefit patients, payers and healthcare providers? Analytics...