Quantum information as the information of infinite series Vasil Penchev
Quantum information is equivalent to that generalization of the classical information from finite to infinite series or collections
The quantity of information is the quantity of choices measured in the units of elementary choice
The qubit is that generalization of bit, which is a choice among a continuum of alternatives
The axiom of choice is necessary for quantum information: The coherent state is transformed into a well-ordered series of results in time after measurement
The quantity of quantum information is the ordinal corresponding to the infinity series in question
A Template Matching Approach to Classification of QAM Modulation using Geneti...CSCJournals
The automatic recognition of the modulation format of a detected signal, the intermediate step between signal detection and demodulation, is a major task of an intelligent receiver, with various civilian and military applications. Obviously, with no knowledge of the transmitted data and many unknown parameters at the receiver, such as the signal power, carrier frequency and phase offsets, timing information, etc., blind identification of the modulation is a difficult task. This becomes even more challenging in real-world. In this paper modulation classification for QAM is performed by Genetic Algorithm followed by Template matching, considering the constellation of the received signal. In addition this classification finds the decision boundary of the signal which is critical information for bit detection. I have proposed and implemented a technique that casts modulation recognition into shape recognition. Constellation diagram is a traditional and powerful tool for design and evaluation of digital modulations. The simulation results show the capability of this method for modulation classification with high accuracy and appropriate convergence in the presence of noise.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Packet Classification using Support Vector Machines with String KernelsIJERA Editor
Since the inception of internet many methods have been devised to keep untrusted and malicious packets away
from a user’s system . The traffic / packet classification can be used
as an important tool to detect intrusion in the system. Using Machine Learning as an efficient statistical based
approach for classifying packets is a novel method in practice today . This paper emphasizes upon using an
advanced string kernel method within a support vector machine to classify packets .
There exists a paper related to a similar problem using Machine Learning [2]. But the researches mentioned in
their paper are not up-to date and doesn’t account for modern day
string kernels that are much more efficient . My work extends their research by introducing different approaches
to classify encrypted / unencrypted traffic / packets .
Quantum information as the information of infinite series Vasil Penchev
Quantum information is equivalent to that generalization of the classical information from finite to infinite series or collections
The quantity of information is the quantity of choices measured in the units of elementary choice
The qubit is that generalization of bit, which is a choice among a continuum of alternatives
The axiom of choice is necessary for quantum information: The coherent state is transformed into a well-ordered series of results in time after measurement
The quantity of quantum information is the ordinal corresponding to the infinity series in question
A Template Matching Approach to Classification of QAM Modulation using Geneti...CSCJournals
The automatic recognition of the modulation format of a detected signal, the intermediate step between signal detection and demodulation, is a major task of an intelligent receiver, with various civilian and military applications. Obviously, with no knowledge of the transmitted data and many unknown parameters at the receiver, such as the signal power, carrier frequency and phase offsets, timing information, etc., blind identification of the modulation is a difficult task. This becomes even more challenging in real-world. In this paper modulation classification for QAM is performed by Genetic Algorithm followed by Template matching, considering the constellation of the received signal. In addition this classification finds the decision boundary of the signal which is critical information for bit detection. I have proposed and implemented a technique that casts modulation recognition into shape recognition. Constellation diagram is a traditional and powerful tool for design and evaluation of digital modulations. The simulation results show the capability of this method for modulation classification with high accuracy and appropriate convergence in the presence of noise.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Packet Classification using Support Vector Machines with String KernelsIJERA Editor
Since the inception of internet many methods have been devised to keep untrusted and malicious packets away
from a user’s system . The traffic / packet classification can be used
as an important tool to detect intrusion in the system. Using Machine Learning as an efficient statistical based
approach for classifying packets is a novel method in practice today . This paper emphasizes upon using an
advanced string kernel method within a support vector machine to classify packets .
There exists a paper related to a similar problem using Machine Learning [2]. But the researches mentioned in
their paper are not up-to date and doesn’t account for modern day
string kernels that are much more efficient . My work extends their research by introducing different approaches
to classify encrypted / unencrypted traffic / packets .
Sharing Information In An Augmented WorldRob Manson
This is my presentation from OZIA09 that looks at the Information Architecture and User Experience implications of Augmented Reality. I present a brief history of AR and then pose some questions about "how" this will change the way we share information and build interfaces in the near future. The key point is that this "future" starts "NOW" as the technology is already here...
French spring easy reader: a girl talks about the spring activities her friends enjoy. The illustrations support students' understanding of the text. To be used in classroom group reading, or as a read-aloud. Teachers can also display this on a tablet or computer for guided reading. I've also created two FREE printables that can be downloaded from my blog: www.forfrenchimmersion.com
Après les périodes très chargées des fêtes et des soldes, les enseignes réalisent des vitrines pétillantes et colorées pour booster le lancement de leurs collections Printemps-Eté.
L'agence Beausoleil est spécialisée dans la mise en oeuvre de campagnes marketing et communication pour les enseignes en réseaux. Si cette sélection vous inspire, vous pouvez nous contacter afin de concrétiser vos projets créatifs.
Automatic Classification of Springer Nature Proceedings with Smart Topic MinerFrancesco Osborne
The process of classifying scholarly outputs is crucial to ensure timely access to knowledge. However, this process is typically carried out manually by expert editors, leading to high costs and slow throughput. In this paper we present Smart Topic Miner (STM), a novel solution which uses semantic web technologies to classify scholarly publications on the basis of a very large automatically generated ontology of research areas. STM was developed to support the Springer Nature Computer Science editorial team in classifying proceedings in the LNCS family. It analyses in real time a set of publications provided by an editor and produces a structured set of topics and a number of Springer Nature classification tags, which best characterise the given input. In this paper we present the architecture of the system and report on an evaluation study conducted with a team of Springer Nature editors. The results of the evaluation, which showed that STM classifies publications with a high degree of accuracy, are very encouraging and as a result we are currently discussing the required next steps to ensure large-scale deployment within the company.
Workshop on Real-time & Stream Analytics IEEE BigData 2016Sabri Skhiri
Introduction presentation of the Workshop on Real-time & Stream Analytics co-located with the IEEE Big Data Conference.
We have seen new business models emerging that require real-time features. However, the real-time nature impacts the IT systems. It impacts the IT in term of (1) Data architecture, (2) Stream Mining and (3) Stream Processor technologies. Those three impacts are still very interesting research areas. The papers presented at the workshop cover those three areas and provide interesting view points.
The Matrix: connecting and re-using digital records of archaeological investi...Keith.May
Stratigraphic laws, principles (Harris 1989), and data underpin the archaeological records from excavated sites and are essential for integrated analysis, wider synthesis and accessible digital archiving of the growing body of archaeological data and reports generated through the commercial archaeological sector in the UK and internationally. On most excavated sites, the stratigraphic record, commonly visualized and to a degree quantifiable, in the form of a stratigraphic matrix, acts as the primary piece of evidence for how, and in what order, the site was excavated. As such the stratigraphic record is the key mechanism that enables anyone less familiar with the site, to re-visit the excavation records, understand what data is most relevant and re-usable for any research questions, or problems encountered, and piece together the underlying details of how the interpretations by the excavator(s) were arrived at.
However, such primary records are often only held on paper or scanned copies of matrix diagrams that cannot easily be re-used with associated data. Often the key phasing data needed for re-use in synthesis work and interpretive understanding, let alone Bayesian Chronological modelling of scientific dating evidence, is not consistently documented, if at all, in archives. This results in key records being unsearchable or remaining unconnected, unused, and lacking interoperability with other data (unFAIR).
The focus of digital archives and museums is switching from simply providing better access to digital archives, to how users in commercial units, curatorial organizations and academia, along with the wider public, can make best use of this growing body of digital information and data.
This paper discusses the re-use issues and presents work undertaken by The Matrix project [AH/T002093/1] to address some of the current problems caused by the lack of standardized approaches to analysis and digital archives of archaeological stratigraphic and phasing data.
Sharing Information In An Augmented WorldRob Manson
This is my presentation from OZIA09 that looks at the Information Architecture and User Experience implications of Augmented Reality. I present a brief history of AR and then pose some questions about "how" this will change the way we share information and build interfaces in the near future. The key point is that this "future" starts "NOW" as the technology is already here...
French spring easy reader: a girl talks about the spring activities her friends enjoy. The illustrations support students' understanding of the text. To be used in classroom group reading, or as a read-aloud. Teachers can also display this on a tablet or computer for guided reading. I've also created two FREE printables that can be downloaded from my blog: www.forfrenchimmersion.com
Après les périodes très chargées des fêtes et des soldes, les enseignes réalisent des vitrines pétillantes et colorées pour booster le lancement de leurs collections Printemps-Eté.
L'agence Beausoleil est spécialisée dans la mise en oeuvre de campagnes marketing et communication pour les enseignes en réseaux. Si cette sélection vous inspire, vous pouvez nous contacter afin de concrétiser vos projets créatifs.
Automatic Classification of Springer Nature Proceedings with Smart Topic MinerFrancesco Osborne
The process of classifying scholarly outputs is crucial to ensure timely access to knowledge. However, this process is typically carried out manually by expert editors, leading to high costs and slow throughput. In this paper we present Smart Topic Miner (STM), a novel solution which uses semantic web technologies to classify scholarly publications on the basis of a very large automatically generated ontology of research areas. STM was developed to support the Springer Nature Computer Science editorial team in classifying proceedings in the LNCS family. It analyses in real time a set of publications provided by an editor and produces a structured set of topics and a number of Springer Nature classification tags, which best characterise the given input. In this paper we present the architecture of the system and report on an evaluation study conducted with a team of Springer Nature editors. The results of the evaluation, which showed that STM classifies publications with a high degree of accuracy, are very encouraging and as a result we are currently discussing the required next steps to ensure large-scale deployment within the company.
Workshop on Real-time & Stream Analytics IEEE BigData 2016Sabri Skhiri
Introduction presentation of the Workshop on Real-time & Stream Analytics co-located with the IEEE Big Data Conference.
We have seen new business models emerging that require real-time features. However, the real-time nature impacts the IT systems. It impacts the IT in term of (1) Data architecture, (2) Stream Mining and (3) Stream Processor technologies. Those three impacts are still very interesting research areas. The papers presented at the workshop cover those three areas and provide interesting view points.
The Matrix: connecting and re-using digital records of archaeological investi...Keith.May
Stratigraphic laws, principles (Harris 1989), and data underpin the archaeological records from excavated sites and are essential for integrated analysis, wider synthesis and accessible digital archiving of the growing body of archaeological data and reports generated through the commercial archaeological sector in the UK and internationally. On most excavated sites, the stratigraphic record, commonly visualized and to a degree quantifiable, in the form of a stratigraphic matrix, acts as the primary piece of evidence for how, and in what order, the site was excavated. As such the stratigraphic record is the key mechanism that enables anyone less familiar with the site, to re-visit the excavation records, understand what data is most relevant and re-usable for any research questions, or problems encountered, and piece together the underlying details of how the interpretations by the excavator(s) were arrived at.
However, such primary records are often only held on paper or scanned copies of matrix diagrams that cannot easily be re-used with associated data. Often the key phasing data needed for re-use in synthesis work and interpretive understanding, let alone Bayesian Chronological modelling of scientific dating evidence, is not consistently documented, if at all, in archives. This results in key records being unsearchable or remaining unconnected, unused, and lacking interoperability with other data (unFAIR).
The focus of digital archives and museums is switching from simply providing better access to digital archives, to how users in commercial units, curatorial organizations and academia, along with the wider public, can make best use of this growing body of digital information and data.
This paper discusses the re-use issues and presents work undertaken by The Matrix project [AH/T002093/1] to address some of the current problems caused by the lack of standardized approaches to analysis and digital archives of archaeological stratigraphic and phasing data.
Slides of the talk at ISMIS 2019.
We tackle the problem of predict whether a target user (or group of users) will be active within an event stream before a time horizon. Our solution, called PATH, leverages recurrent neural networks to learn an embedding of the past events. The embedding allows to capture influence and susceptibility between users and places closer (the representation of) users that frequently get active in different event streams within a small time interval. We conduct an experimental evaluation on real world data and compare our approach with related work.
PhD Defense: Analyse exploratoire de flots de liens pour la détection d'événe...Sébastien
Link streams represent traces of complex systems’ activities over time, in which links appear when two system entities interact with each other; the aggregation of entities (i.e. nodes) and links is a graph. These traces have become strategic datasets in the last few years for analyzing the activity of large-scale complex systems, involving millions of entities, e.g. mobile phone networks, social networks, or the Internet.
This thesis deals with the exploratory analysis of link streams, in particular the characterization of their dynamics and the identification of anomalies over time (called events). We propose an exploratory framework involving statistical methods and visualization, with no hypothesis about data. The detected events are statistically significant and we propose a method to validate their relevance. We finally illustrate our methodology on the evolution of Github online social network, on which hundred thousands of developers contribute to open source software projects.
Why contribute? “I did it for teh lulz” R. Stallman
Most of Free/Open Source Software (FOSS) developers are not paid to contribute, so why do they work anyway? In this talk, we’ll investigate the motivations of individual contributors. We’ll put them in perspective with recent studies on motivations and communities of practice. In particular, we’ll see that distinguishing internal vs external incentives is a key to understand why FOSS communities are able to attract and keep contributors around the production of a software…
Presented at http://fossa.inria.fr/fr/program/community
Dec 6, 2012
Tour d'horizon des personnes morales adhérentes à l'APRILSébastien
Ce diaporama présente la position des sites des personnes morales adhérentes à l'APRIL dans un graphe du Web. La totalité de l'étude est consultable sur http://web-mining.fr .
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
1. IC 05 / semestre printemps 2008 IC 05 / semestre printemps 2008 Franck.ghitalla Département TSH Président de WebAtlas [email_address] Mesure(s) de phénomènes dynamiques sur le web Théorie(s), modèle(s), expérimentation(s), interfaces
2. IC 05 / semestre printemps 2008 Temporal patterns, Topic Detection and Tracking, network and human dynamics… 1) Quelques repères bibliographiques
6. IC 05 / semestre printemps 2008 Beyond serving as online diaries, weblogs have evolved into a complex social structure, one which is in many ways ideal for the study of the propagation of information. As weblog authors discover and republish information, we are able to use the existing link structure of blogspace to track its flow. Where the path by which it spreads is ambiguous, we utilize a novel inference scheme that takes advantage of data describing historical, repeating patterns of "infection." Our paper describes this technique as well as a visualization system that allows for the graphical tracking of information flow. E. Adar, Lada A. Adamic, WebIntelligence Conference, 2005.
7. IC 05 / semestre printemps 2008 Abstract A fundamental problem in text data mining is to extract meaningful structure from document streams that arrive continuously over time. E-mail and news articles are two natural examples of such streams, each characterized by topics that appear, grow in intensity for a period of time, and then fade away. The published literature in a particular research eld can be seen to exhibit similar phenomena over a much longer time scale. Underlying much of the text mining work in this area is the following intuitive premise | that the appearance of a topic in a document stream is signaled by a urst of activity," with certain features rising sharply in frequency as the topic emerges. The goal of the present work is to develop a formal approach for modeling such bursts," in such a way that they can be robustly and eciently identied, and can provide an organizational framework for analyzing the underlying content. The approach is based on modeling the stream using an innite-state automaton, in which bursts appear naturally as state transitions; it can be viewed as drawing an analogy with models from queueing theory for bursty network trac. The resulting algorithms are highly ecient, and yield a nested representation of the set of bursts that imposes a hierarchical structure on the overall stream. Experiments with e-mail and research paper archives suggest that the resulting structures have a natural meaning in terms of the content that gave rise to them. J. Kleinberg, 8th ACM SIGKDD international conference on Knowledge discovery and data mining , 2002.
8. IC 05 / semestre printemps 2008 Temporal patterns, Topic Detection and Tracking, network and human dynamics… 2) Modéliser les phénomènes temporels sur le web
9. IC 05 / semestre printemps 2008 1 2 3 4 Articulation des TYPES de temporalité (information ON and IN the net) Topic Detection and Tracking ( TDT ) Dynamics of network ( patterns temporels ) Articulation des NIVEAUX de temporalité( Global / local dynamics) Modèle opérationnel Design du système(s) de mesure Production/vérification des hypothèses Optimisation/profiling des systèmes de capture et de traitement Question(s) sémiologique(s) de visualisation et le défi de la spatialisation de phénomènes temporels
10. IC 05 / semestre printemps 2008 2-1) Articulation des TYPES de temporalité (information ON and IN the net) Préoccupation contemporaine : téléphonie, cryptographie, norme Ipv6 et réseaux ad-hoc…et maintenant le web / à différentes échelles Extraire des structures signifiantes des flux d’informations / le champ de la TDT ( Topic Detection and Tracking ) / Un thème dans un courant de documents : développement de l’activité autour du thème, puis retombée / Le temps comme ordre (principe d’ordonnancement) MAIS distinction à faire entre « événement de structure » (Network dynamics) et modèle propagatoire (épidémiologique et/ou viral) de la diffusion ou des flux Information IN and ON the Net IN and hypertext topology « Any local change in the network topology can be obtained through a combination of four elementary processes: addition and removal of a node and addition or removal of an edge. » / growth, preferential attachment as dynamic rules ON and information propagation Modèles de circulation virale / la topologie du réseau comme vecteur Épidémiologie, rumeur, diffusion de l’innovation
11. IC 05 / semestre printemps 2008 2-2) Articulation des NIVEAUX de temporalité, ( Global / local dynamics) Verrous théorique et technique : Temporalité propre des objets réseau / temporalité du phénomène étudié (détection de signal faible, mouvement de « fond », organisation d’acteurs…) / temporalité des mesures / modèles théoriques de l’Histoire Exemple : quand (et quoi) sonder? Avec quelle régularité pour quel résultats? Propriété méthodologique : cartographie = rendre statique du dynamique, mesure de phénomènes dynamiques : introduire du temps dans du statique / l’aller-retour statique-dynamique
12. IC 05 / semestre printemps 2008 2-3) Topic Detection and Tracking ( TDT ) TOPIC DETECTION AND TRACKING « Time series » / queuing theory Data elements are a function of time : D = {(t 1 ,y 1 ),(t 2 ,y 2 ),…,(t n ,y n )} Théorie du Signal : (fréquence / amplitude ou intensité) appliqué au Text Mining Mesure à deux états (au plus simple) par rapport à un seuil Mesure à états multiples : choix du type d’indicateurs, définition des échelles TEMPORAL PATTERNS Equal / non-equal time steps linear (cycles) / non-linear patterns (but non chaotic)
13. IC 05 / semestre printemps 2008 2-3) Topic Detection and Tracking ( TDT ) Hierarchical Structure and E-mail Streams all the mail I sent and received during this period, unltered by content but excluding long les. It contains 34344 messages in UNIX mailbox format, totaling 41.7 megabytes of ascii text, excluding message headers. Subsets of the collection can be chosen by selecting all messages that contain a particular string or set of strings; this can be viewed as an analogue of a older" of related messages, although messages in the present case are related not because they were manually led together but because they are the response set to a particular query. To give a qualitative sense for the kind of structure one obtains, Figures 2 and 3 show the results of computing bursts for two dierent queries using the automaton A2. Figure 2 shows an analysis of the stream of all messages containing the word TR," which is prominent in my e-mail because it is the name of a large National Science Foundation program for which my colleagues and I wrote two proposals in 1999-2000.
14. IC 05 / semestre printemps 2008 2-3) Topic Detection and Tracking ( TDT ) Text Mining
15.
16. IC 05 / semestre printemps 2008 2-4) Dynamics of network ( patterns temporels ) critical states / phase transition (facteur interne?) Équilibre? Feature of spontaneous order? Signal faible et prédictibilité Bibliothèque de cas et méthodes de repérage des courbes ascendantes/naissantes Mémoire et réseaux (réactivation potentielle des topologies/états critiques) Robustness/Vulnerability (facteur externe?) Error and Attack Tolerance / planed organisation and developpment? Ordered / random (crystal/liquid) Connected / fragmented (percolation) Synchronized / random-phased (lazer/light) Quels types/degrés de corrélation entre facteurs externes et phase transition? Mutations systémiques
17. IC 05 / semestre printemps 2008 Temporal patterns, Topic Detection and Tracking, network and human dynamics… 3) Systèmes, interfaces, cas
18. IC 05 / semestre printemps 2008 Temporal patterns, Topic Detection and Tracking, network and human dynamics… Detect and validate properties of an unknown function f Temporal behavior of data elements When was something greatest/least? Is there a pattern? Are two series similar? Do any of the series match a pattern? Provide simpler, faster access to the series OBJECTIVES OF TIME SERIES VISUALIZATION(S) OR NETWORK EVOLUTION
19. IC 05 / semestre printemps 2008 Modéliser les propriétés topologiques (statiques) du domaine (cartographie) Distribuer les systèmes de mesure, traiter les données, assurer la visualisation des patterns Disposer de modèles prédictifs ou des scénarios évolutifs ( ce qui suppose de les avoir testés dans plusieurs cas) dans leur articulation à la cartographie Verrous théorique et technique : Bibliothèque de cas Exemple : la « grippe aviaire » comme phénomène informationnel stratégique Modèle opérationnel : Global/local (topologie, contenu), niveau de couches (haute/agrégats), phénomènes dynamiques/statiques Un exemple en veille stratégique : la « grippe aviaire » Contexte : qui parle du H5N1 sur le web? En quels termes? La thémétique est-elle localisable sur le web? Par quels canaux et/ou relais d’opinion se propage l’information? Peut-on fournir des indicateurs a) de localisation b) de densité c) de propagation des informations associées à la thématique?
20. IC 05 / semestre printemps 2008 Mesure quantitative de « bruit » (type Tendançologue ) Analyse thématique quantitative et qualitative (contenu textuel) SYNTHESE Global/local (topologie, contenu), niveau de couches (haute/agrégats), phénomènes dynamiques/statiques
21. IC 05 / semestre printemps 2008 ThemeRiver: Visualizing Thematic Changes in Large Document Collections Susan Havre, Elizabeth Hetzler, Paul Whitney, Lucy Nowell Interactive Visualization of Serial Periodic Data John Carlis, Joseph Konstan Visual Queries for Finding Patterns in Time Series Data Harry Hochheiser, Ben Shneiderman 3 exemples de systèmes
22. IC 05 / semestre printemps 2008 ThemeRiver: Visualizing Thematic Changes in Large Document Collections River metaphor: Each attribute is mapped to a “ current ” in the “ river ”, flowing along the timeline Current width ~= strength of theme River width ~= global strength Color mapping (similar themes – same color family) Comparing two rivers
23. IC 05 / semestre printemps 2008 ThemeRiver: Visualizing Thematic Changes in Large Document Collections
24. IC 05 / semestre printemps 2008 Interactive Visualization of Serial Periodic Data Spiral axis = serial attributes Radii = periodic attributes Period = 360° Focus on pure serial periodic data (equal durations of cycles) Simultaneous display of serial and periodic attributes (e.g. seasonality) Traditional layouts exaggerate distance across period boundaries Focus+Context / Zoom unsuitable Chimpanzees Monthly food consumption 1980-1988
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28. IC 05 / semestre printemps 2008 http://cdc25.biol.vt.edu/Pubs/TysonNR.pdf
29. IC 05 / semestre printemps 2008 IC 05 / semestre printemps 2008 Franck.ghitalla Département TSH Président de WebAtlas [email_address] Mesure(s) de phénomènes dynamiques sur le web Théorie(s), modèle(s), expérimentation(s), interfaces