Outlier Detection is one of the important research problems in temporal data mining. A
pattern in time stamped temporal database is a sequence of probability values. Finding …

Temporal data. bases has been an active a. rea of research for the last fifteen years, with a
corpus nearing 700 papers [Kline93]. Most d&abase conferences include at least one paper …

Over the past few decades, machine learning has led to substantial changes in Data Fusion
Systems throughout the world. One of the most important application areas for data fusion is …

Time is implicit in most of the database management applications. To handle time varying
data for every application using ad hoc methods is a cumbersome task. Temporal database …

In recent years, visualization has become an increasingly important tool to support
exploration and analysis of larger volumes of data. Still, the interests of the users are only …

Temporal databases naturally contain a wealth of information that can be unearthed by
knowledge discovery and data mining techniques. Discovering association rules in market …

The authors consider the representation of temporal data based on tuple and attribute
timestamping. They identify the requirements in modeling temporal data and elaborate on …

The paper discusses modelling temporal variation of data in the context of the relational data
model. This is done by employing time-stamps, which leads to two possible approaches …

This article introduces how temporal data can be maintained and processed by utilizing
Column-oriented NoSQL databases (CoNoSQLDBs). Although each column in a …

We address the key issues of temporal data modeling and temporal integrity constraints in
the temporal extensions to the relational data model in attribute and tuple time stamping …