Modeling temporal dimensions of semistructured data

Querying Semistructured Temporal Data

In this paper we propose the GEM Language (GEL), a SQLlike query language, which is able to extract information from semistructured temporal databases represented according to the Graphical sEmistructured teMporal (GEM) data model.

Temporal Aspects of Semistructured Data

modeling loss data by phase-type distribution

بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...

Foundations of Semistructured Data

Traditional database systems rely on an old model: the relational data model. When it was proposed in the early 1970’s by Codd, a logician, the relational model generated a true revolution in data management. In this simple model data is represented as relations in first order structures and queries as first order logic formulas. It enabled researchers and implementors to separate the logical a...

Indexing Semistructured Data

This paper describes techniques for building and exploiting indexes on semistructured data: data that may not have a xed schema and that may be irregular or incomplete. We rst present a general framework for indexing values in the presence of automatic type coercion. Then based on Lore, a DBMS for semistructured data, we introduce four types of indexes and illustrate how they are used during qu...