This book is intended as an introduction to a versatile model for
temporal data. It exhibits an original lattice structure on the
space of chronicles and proposes new counting approach for multiple
occurrences of chronicle occurrences. This book also proposes a new
approach for frequent temporal pattern mining using pattern
structures. Â This book was initiated by the work of Ch.
Dousson in the 1990’s.  At that time, the prominent format
was Temporal Constraint Networks for which the article by Richter,
Meiri and Pearl is seminal. Chronicles do not conflict with
temporal constraint networks, they are closely related. Not only do
they share a similar graphical representation, they also have in
common a notion of constraints in the timed succession of events.
However, chronicles are definitely oriented towards fairly specific
tasks in handling temporal data, by making explicit certain aspects
of temporal data such as repetitions of an event. The notion of
chronicle has been applied both for situation recognition and
temporal sequence abstraction. The first challenge benefits from
the simple but expressive formalism to specify temporal behavior to
match in a temporal sequence. The second challenge aims to abstract
a collection of sequences by chronicles with the objective to
extract characteristic behaviors. This book targets researchers and
students in computer science (from logic to data science).Â
Engineers who would like to develop algorithms based on temporal
models will also find this book useful. Â
General
| Imprint: |
Springer International Publishing AG
|
| Country of origin: |
Switzerland |
| Series: |
SpringerBriefs in Computer Science |
| Release date: |
August 2023 |
| First published: |
2023 |
| Authors: |
Thomas Guyet
• Philippe Besnard
|
| Dimensions: |
235 x 155mm (L x W) |
| Pages: |
121 |
| Edition: |
1st ed. 2023 |
| ISBN-13: |
978-3-03-133692-8 |
| Categories: |
Books
Promotions
|
| LSN: |
3-03-133692-5 |
| Barcode: |
9783031336928 |
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