FINGERPRINT

Monitoring and interpretation of changing patterns is a task of paramount importance for data mining applications in dynamic environments. While there is much research in adapting patterns in the presence of drift or shift, there is less research on how to maintain an overview of pattern changes over time. A major challenge is summarizing changes in an effective way, so that the nature of change can be understood by the user, while the demand on resources remains low. To this end, the authors propose FINGERPRINT, an environment for the summarization of cluster evolution. Cluster changes are captured into an “evolution graph,” which is then summarized based on cluster similarity into a fingerprint of evolution by merging similar clusters. The authors propose a batch summarization method that traverses and summarizes the Evolution Graph as a whole and an incremental method that is applied during the process of cluster transition discovery. They present experiments on different data streams and discuss the space reduction and information preservation achieved by the two methods.

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STORYTELLING AND MEANING RECONSTRUCTION: A METAPHORICAL PERSPECTIVE

Southern African Journal for Folklore Studies ◽

10.25159/1016-8427/1614 ◽

2016 ◽

Vol 24 (2) ◽

pp. 159-169

Author(s):

M L Mojapelo

Keyword(s):

Personal Development ◽

Real Life ◽

Human Existence ◽

Meaning Reconstruction ◽

Changing Patterns ◽

The Subject ◽

Changes Over Time ◽

Over Time

Storytelling consists of an interaction between a narrator and a listener, both of whom assign meaning to the story as a whole and its component parts. The meaning assigned to the narrative changes over time under the influence of the recipient‟s changing precepts and perceptions which seem to be simplistic in infancy and more nuanced with age. It becomes more philosophical in that themes touching on the more profound questions of human existence tend to become more prominently discernible as the subject moves into the more reflective or summative phases of his or her existence. The aim of this article is to demonstrate the metaphorical character of a story, as reflected in changing patterns of meaning assigned to the narrative in the course of the subjective receiver‟s passage through the various stages of life. This was done by analysing meaning, from a particular storytelling session, at different stages of a listener‟s personal development. Meaning starts as literal and evolves through re-interpretation to abstract and deeper levels towards application in real life.

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Introduction

Beyond the Steppe Frontier ◽

10.23943/princeton/9780691181684.003.0001 ◽

2020 ◽

pp. 1-14

Author(s):

Sören Urbansky

Keyword(s):

World History ◽

Pivotal Role ◽

Academic Interest ◽

Changing Patterns ◽

Changes Over Time ◽

Over Time

This introductory chapter focuses on the overlapping and mingling of distinct nomadic and sedentary cultures and European and Asian civilizations along the Argun. It shows that the study of the multiple ways in which the Sino-Russian border was negotiated on the ground remains a lacuna in the scholarship. Such neglect is all the more striking in light of the landmark's geopolitical significance and pivotal role in world history, its unique and radical changes over time, and the growth of general academic interest in borders. Here, the chapter provides a new focus for research before turning to how the Argun Basin was populated over the course of centuries. It illustrates the changing patterns of population in such an inhospitable area.

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Adaptive Approaches Towards Better GA Performance in Dynamic Fitness Landscapes

DAIMI Report Series ◽

10.7146/dpb.v23i487.6981 ◽

1994 ◽

Vol 23 (487) ◽

Cited By ~ 1

Author(s):

Henrik Hautop Lund

Keyword(s):

Fitness Landscape ◽

Dynamic Environments ◽

Mutation Rates ◽

Landscape Changes ◽

Correlation Measure ◽

The Right ◽

Changes Over Time ◽

Adaptive Approaches ◽

Over Time ◽

Selection Of

We review different techniques for improving GA performance. By analysing the fitness landscape, a correlation measure between parents and offspring can be provided, and we can estimate effectively which genetic operator to use in the GA for a given fitness landscape. The response to selection equation further tells us how well the GA will do, and combining the two approaches gives us a powerful tool to automatically ensure the selection of the right parameter settings for a given problem. In dynamic environments the fitness landscape changes over time, and the evolved systems should be able to adapt to such changes. By introducing evolvable mutation rates and evolvable fitness formulae, we obtain such systems. The systems are shown to be able to adapt to both internal and external constraints and changes.

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Predictive Maps in Rats and Humans for Spatial Navigation

10.1101/2020.09.26.314815 ◽

2020 ◽

Author(s):

William de Cothi ◽

Nils Nyberg ◽

Eva-Maria Griesbauer ◽

Carole Ghanamé ◽

Fiona Zisch ◽

...

Keyword(s):

Spatial Navigation ◽

Dynamic Environments ◽

Dynamic Adaptation ◽

Artificial Agents ◽

Common Framework ◽

Trajectory Features ◽

Predictive Map ◽

Frame Work ◽

Changes Over Time ◽

Over Time

AbstractMuch of our understanding of navigation has come from the study of rats, humans and simulated artificial agents. To date little attempt has been made to integrate these approaches into a common framework to understand mechanisms that may be shared across mammals and the extent to which different instantiations of agents best capture mammalian navigation behaviour. Here, we report a comparison of rats, humans and reinforcement learning (RL) agents in a novel open-field navigation task (‘Tartarus Maze’) requiring dynamic adaptation (shortcuts and detours) to changing obstructions in the path to the goal. We find humans and rats are remarkably similar in patterns of choice in the task. The patterns in their choices, dwell maps and changes over time reveal that both species show the greatest similarity to RL agents utilising a predictive map: the successor representation. Humans also display trajectory features similar to a model-based RL agent. Our findings have implications for models seeking to explain mammalian navigation in dynamic environments and highlight the utility of modelling the behaviour of different species in the same frame-work in comparison to RL agents to uncover the potential mechanisms used for behaviour.

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Comparison of two devices for measuring exercise transcutaneous oxygen pressures in patients with claudication

VASA ◽

10.1024/0301-1526/a000454 ◽

2015 ◽

Vol 44 (5) ◽

pp. 355-362 ◽

Cited By ~ 8

Author(s):

Marie Urban ◽

Alban Fouasson-Chailloux ◽

Isabelle Signolet ◽

Christophe Colas Ribas ◽

Mathieu Feuilloy ◽

...

Keyword(s):

Oxygen Pressure ◽

Optical Sensors ◽

Chemical Sensors ◽

Transcutaneous Oxygen ◽

Starting Values ◽

Two Systems ◽

Transcutaneous Oxygen Pressure ◽

New Sensors ◽

Changes Over Time ◽

Over Time

Abstract. Summary: Background: We aimed at estimating the agreement between the Medicap® (photo-optical) and Radiometer® (electro-chemical) sensors during exercise transcutaneous oxygen pressure (tcpO2) tests. Our hypothesis was that although absolute starting values (tcpO2rest: mean over 2 minutes) might be different, tcpO2-changes over time and the minimal value of the decrease from rest of oxygen pressure (DROPmin) results at exercise shall be concordant between the two systems. Patients and methods: Forty seven patients with arterial claudication (65 + / - 7 years) performed a treadmill test with 5 probes each of the electro-chemical and photo-optical devices simultaneously, one of each system on the chest, on each buttock and on each calf. Results: Seventeen Medicap® probes disconnected during the tests. tcpO2rest and DROPmin values were higher with Medicap® than with Radiometer®, by 13.7 + / - 17.1 mm Hg and 3.4 + / - 11.7 mm Hg, respectively. Despite the differences in absolute starting values, changes over time were similar between the two systems. The concordance between the two systems was approximately 70 % for classification of test results from DROPmin. Conclusions: Photo-optical sensors are promising alternatives to electro-chemical sensors for exercise oximetry, provided that miniaturisation and weight reduction of the new sensors are possible.

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