Meaningful change detection in structured data

Meaningful Change Detection in Structured Data Sudarshan

Detecting changes by comparing data snapshots is an important requirement for diierence queries, active databases, and version and connguration management. In this paper we focus on detecting meaningful changes in hierarchically structured data, such as nested-object data. This problem is much more challenging than the corresponding one for re-lational or at-le data. In order to describe change...

meaningful change estimation

How meaningful is our evaluation of meaningful change in osteoarthritis?

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Adaptive Change Management for Semi-structured Data

This paper presents an efficient content-based version management system for managing XML documents. Our proposed system uses complete deltas for the logical representation of document versions. This logical representation is coupled with an efficient storage policy for version retrieval and insertion. Our storage policy includes the conditional storage of complete document versions (depending ...

Change Detection in Meteorological Data

Change detection is an important task in signal analysis, data mining, and image processing. In meteorology research, change is frequently associated with severe weather events or climate anomalies. Detecting change is crucial for weather and climate analysis. In this paper, we propose a wavelet based approach to analyze short term changes in the global meteorological data. We design a suite of...