ppxscal/embedding_network huggingface dataset:
Clustering event logs using iterative partitioning
Authors: Adetokunbo A.O. Makanju, A. Nur Zincir-Heywood, Evangelos E. Milios
Venue: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009)

The importance of event logs, as a source of information in systems and network management cannot be overemphasized. With the ever increasing size and complexity of today's event logs, the task of analyzing event logs has become cumbersome to carry out manually. For this reason recent research has focused on the automatic analysis of these log files. In this paper we present IPLoM (Iterative Partitioning Log Mining), a novel algorithm for the mining of clusters from event logs. Through a 3-Step hierarchical partitioning process IPLoM partitions log data into its respective clusters. In its 4th and final stage IPLoM produces cluster descriptions or line formats for each of the clusters produced. Unlike other similar algorithms IPLoM is not based on the Apriori algorithm and it is able to find clusters in data whether or not its instances appear frequently. Evaluations show that IPLoM outperforms the other algorithms statistically significantly, and it is also able to achieve an average F-Measure performance 78% when the closest other algorithm achieves an F-Measure performance of 10%.
A System Dynamics Model That Simulates a Significant Late Life Cycle Manpower Increase Phenomenon
Authors: Douglas Buettner
Venue: Proceedings of the International Conference on Software Process: Trustworthy Software Development Processes (2009)

Available software metrics data from an initially schedule and cost-driven satellite flight software project contains a late life cycle staff spike from a lack of initial rigor in inspection and unit testing. In order to study the effects on the number of staff from varying the degree of inspection and unit test rigor, Madachy's inspection-based system dynamics model was modified to add unit testing and an integration test feedback loop. This modified Madachy model generated a similar late life cycle manpower rate increase from a parametric lack of up-front rigor in these same defect removal techniques.
Slant algorithm for online signature recognition
Authors: Shuzlina Abdul Rahman, Rohayu Yusof, Sofianita Mutalib, Marina Yusoff, Azlinah Mohamed
Venue: Proceedings of the 10th WSEAS international conference on evolutionary computing (2009)

Designing the algorithm to extract features in signature is a challenging task due to complex human behavior which is developed through repetition. Features such as direction, slant, baseline, pressure, speed and numbers of pen ups and downs are some of the dynamic information signature that can be extracted from an online method. However, the variables for identifying the features is rarely discussed and notified. Therefore, this paper presents the variables that involve in designing the algorithm for extracting the slant features. Both local and global slant characteristics are considered in extracting the features. Local slant is the longest slant among the detected slant while the global slant represents the highest quantity of classified slant whether the slant are leftward, upright or rightward. Signature Extraction Features System (SEFS) is used to extract the slant features in signature automatically for analysis purposes. The images created by SEFS are used as samples for the questionnaire to identify the slant features and to be given to human expert for evaluation. The results from the SEFS are compared with the result from the questionnaire. The results demonstrate a competitive performance with 85% accuracy.
Towards Predictive Modelling of Student Affect from Web-Based Interactions
Authors: Manolis Mavrikis, Antony Maciocia, John Lee
Venue: Proceeding of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work (2007)

This paper presents the methodology and results of a study conducted in order to establish ways of predicting students' emotional and motivational states while they are working with Interactive Learning Environments (ILEs). The interactions of a group of students using, under realistic circumstances, an ILE were recorded and replayed to them during post-task walkthroughs. With the help of machine learning we determine patterns that contribute to the overall task of diagnosing learners' affective states based on observable student-system interactions. Apart from the specific rules brought forward, we present our work as a general method of deriving predictive rules or, when there is not enough evidence, generate at least hypotheses that can guide further research.
Descriptive Answer Clustering System for Immediate Feedback
Authors: Kazutaka Noro, Haruhiko Takase, Hidehiko Kita, Terumine Hayashi, Naoki Morita
Venue: Proceeding of the 2007 conference on Supporting Learning Flow through Integrative Technologies (2007)

In this paper, we discuss a visualization method of answers of a quiz. Though quizzes (especially descriptive answer style) are effective to identify the level of students' understanding, it is hard for lecturers to catch contents of all answers for effective and immediate feedback. We propose a visualization method based on self-organizing map and k-means method and develop a system that classifies answers and allows lecturers to adjust the results for preferable ones quickly.
The evolution of the post-synaptic complex
Authors: Kenneth S. Kosik, Omer Egecioglu
Venue:  (2008)

The post-synaptic complex, a membrane specialization for signaling and synaptic plasticity, constitutes an important component of nerve cells. Tracking the early origins of the genes that make up this complex has not been possible without genomic information from the earliest branching animals. In this study, the origin and evolution of this complex are investigated by comparative genomics of animal species and their closest uni-cellular relatives. First, by conducting extensive phylogenetic analyses on gene families that constitute the vertebrate synapse, it is shown that the genome of a sea sponge, an animal without a nervous system, possesses a post-synaptic scaffold. Second, a new algorithm is introduced to automatically generate evolutionary histories of gene families. This algorithm and other bioinformatics techniques are employed to study the evolutionary descent of synaptic protein domains. One important protein-protein interaction domain in the synapse is the PDZ domain. The results show that positive selection acting on just a few PDZ domain residues was exploited by evolution to diversify the types of possible binding interactions that had eventually enabled the evolution of membrane scaffolds such as the post-synaptic complex.
BioBrowsing: Making the Most of the Data Available in Entrez
Authors: Sarah Cohen-Boulakia, Kevin Masini
Venue: Proceedings of the 21st International Conference on Scientific and Statistical Database Management (2009)

One of the most popular ways to access public biological data is using portals, like Entrez (NCBI) which allows users to navigate through the data of 34 major biological sources following cross-references. In this process, data entries are inspected one after the other and cross-references to additional data available in other sources may be followed. This navigational process may be time-consuming and may not be easily reproduced from one entry to another. Most importantly, only a few sources are initially queried, biologists do not exploit all the richness of the data provided by Entrez, and in particular they may not explore alternative source paths that provide complementary information.In this paper, we introduce BioBrowsing, a tool providing scientists with access to the data obtained when all the combinations between NCBI sources have been followed. Querying is done on-the-fly (no warehousing). As new sources and links between sources appear in Entrez, BioBrowsing has a module able to update automatically the schema used by its query engine. Finally, BioBrowsing makes it possible for users to define profiles as a way of focusing the results on users specific interests.Availability: http://bioguide-project.net/biobrowsing
The Best of FreeBSD Basics
Authors: Dru Lavigne, Jeremy C. Reed
Venue:  (2007)

For over seven years, computer networking and security instructor and consultant, Dru Lavigne, meticulously documented her learning experiences with FreeBSD administration and open source software usage in a series of over 110 articles. Many readers praised and recommended the author's informative tutorials. The Best of FreeBSD Basics book contains most of these articles - updated to reflect the usage on FreeBSD 6.2. The Best of FreeBSD Basics provides practical advice for completing common tasks on FreeBSD and is a great way to get to know FreeBSD - and Unix in general. Darwin, DragonFly, Linux, Mac OS X, NetBSD, and OpenBSD fans will also find a lot of the book invaluable and useful. Covering a huge range of FreeBSD and open source topics, The Best of FreeBSD Basics includes step-by-step directions, things to watch out for, and hints for success. A sampling of the book's topics include installing an X11 server and setting up a desktop environment, comparing common tasks with Linux, playing audio and video files, user administration, system startup, finding and using documentation, managing backups, networking basics, IPsec, setting up several servers, filtering spam, improving security, enabling firewalls, and a lot more.
Setting the Stage for Collaborative Interactions: Exploration of Separate Control of Shared Space
Authors: Lucinda Kerawalla, Darren Pearce, Jeanette O'Connor, Rosemary Luckin, Nicola Yuill, Amanda Harris
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

Most educational software available to children is designed for a single user and this, coupled with a shortage of computers in schools, means that pairs or groups of children often share an inappropriate interface which can be detrimental to collaboration. We describe a novel user interface, Separate Control of Shared Space (SCOSS), and present two studies that explore its potential as a tool to resource collaborative interactions. We illustrate how it can be used to allow for equitable control at both input and task levels, and how it visually represents agreement and disagreement which can be used to mediate collaboration about a final solution.
Agent-based intelligent collaborative care management
Authors: Kumari Wickramasinghe, Christian Guttmann, Michael Georgeff, Hamid Gharib, Ian Thomas, Simon Thompson, Heinz Schmidt
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 (2009)

The aim of our research is to provide a unified model for the composition and management of consumer care services. We identify design, composition, distribution and management as key stages of this model and propose an Intelligent Collaborative Care Management (ICCM) System as its realisation. The distribution and management stages are implemented as multi-agent systems. Agents in the distribution stage carry out domain-specific negotiation and distribution processes for the assignment of tasks in the care plan. Through the agents in the management stage, we introduce the notion of "failure prevention" and "adherence support" in contrast to "failure recovery" in planning. The key to failure prevention is to identify what has to be carried out to prevent care plan failures. The healthcare domain is used to demonstrate the ICCM system.
Preliminary design of a unified JML representation and software infrastructure
Authors: Robby, Patrice Chalin
Venue: Proceedings of the 11th International Workshop on Formal Techniques for Java-like Programs (2009)

As a Behavioral Interface Specification Language (BISL) for Java, the Java Modeling Language (JML) is tightly coupled to the base language it enhances. Up until Java 1.4, JML kept apace with the evolution of its base language. Java 5 and subsequent revisions have yet to be fully supported by JML tools. Recent efforts such as JML4 have been addressing this issue by providing an Eclipse-based tooling infrastructure. In its current form, JML4 has a fairly steep learning curve for developers wishing to contribute to or extend it. To address this issue and bring JML tools one step closer to a desired plug-in model, we propose a JML Intermediate Representation (JIR) and supporting software infrastructure for JML front-ends and back-ends.
The Pie Slider: Combining Advantages of the Real and the Virtual Space
Authors: Alexander Kulik, André Kunert, Christopher Lux, Bernd Fröhlich
Venue: Proceedings of the 10th International Symposium on Smart Graphics (2009)

The Pie Segment Slider is a novel parameter control interface combining the advantages of tangible input with the customizability of a graphical interface representation. The physical part of the interface consists of a round touchpad, which serves as an appropriate sensor for manipulating ring-shaped sliders arranged around a virtual object. The novel interface concept allows to shift a substantial amount of interaction task time from task preparation to its exploratory execution. Our user study compared the task performance of the novel interface to a common touchpad-operated GUI and examined the task sequences of both solutions. The results confirm the benefits of exploiting tangible input and proprioception for operating graphical user interface elements.
Lord of the links: a framework for discovering missing links in the internet topology
Authors: Yihua He, Georgos Siganos, Michalis Faloutsos, Srikanth Krishnamurthy
Venue: IEEE/ACM Transactions on Networking (TON) (2009)

The topology of the Internet at the Autonomous System (AS) level is not yet fully discovered despite significant research activity. The community still does not know how many links are missing, where these links are and finally, whether the missing links will change our conceptual model of the Internet topology. An accurate and complete model of the topology would be important for protocol design, performance evaluation and analyses. The goal of our work is to develop methodologies and tools to identify and validate such missing links between ASes. In this work, we develop several methods and identify a significant number of missing links, particularly of the peer-to-peer type. Interestingly, most of the missing AS links that we find exist as peer-to-peer links at the Internet Exchange Points (IXPs). First, in more detail, we provide a large-scale comprehensive synthesis of the available sources of information. We cross-validate and compare BGP routing tables, Internet Routing Registries, and traceroute data, while we extract significant new information from the less-studied Internet Exchange Points (IXPs). We identify 40% more edges and approximately 300% more peer-to-peer edges compared to commonly used data sets. All of these edges have been verified by either BGP tables or traceroute. Second, we identify properties of the new edges and quantify their effects on important topological properties. Given the new peer-to-peer edges, we find that for some ASes more than 50% of their paths stop going through their ISPs assuming policy-aware routing. A surprising observation is that the degree of an AS may be a poor indicator of which ASes it will peer with.
Toward autonomic grids: analyzing the job flow with affinity streaming
Authors: Xiangliang Zhang, Cyril Furtlehner, Julien Perez, Cecile Germain-Renaud, Michèle Sebag
Venue: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009)

The Affinity Propagation (AP) clustering algorithm proposed by Frey and Dueck (2007) provides an understandable, nearly optimal summary of a dataset, albeit with quadratic computational complexity. This paper, motivated by Autonomic Computing, extends AP to the data streaming framework. Firstly a hierarchical strategy is used to reduce the complexity to O(N1+ε); the distortion loss incurred is analyzed in relation with the dimension of the data items. Secondly, a coupling with a change detection test is used to cope with non-stationary data distribution, and rebuild the model as needed. The presented approach StrAP is applied to the stream of jobs submitted to the EGEE Grid, providing an understandable description of the job flow and enabling the system administrator to spot online some sources of failures.
Morphological Hetero-Associative Memories Applied to Restore True-Color Patterns
Authors: Roberto A. Vázquez, Humberto Sossa
Venue: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III (2009)

Morphological associative memories (MAMs) are a special type of associative memory which exhibit optimal absolute storage capacity and one-step convergence. This associative model substitutes the additions and multiplications by additions/subtractions and maximums/minimums. This type of associative model has been applied to different pattern recognition problems including face localization and reconstruction of gray scale images. Despite of his power, it has not been applied to problems involving true-color patterns. In this paper we describe how a Morphological Hetero-associative Memory (MHAM) can be applied in problems that involve true-color patterns. In addition, a study of the behavior of this associative model in the reconstruction of true-color images is performed using a benchmark of 14400 images altered by different type of noises.
Probabilistic distributed control
Authors: Leonard Kleinrock
Venue:  (2008)

Algorithms must not only allow autonomous entities to work together to accomplish some desired task, but it is often advantageous to must do so in a distributed manner. The latter criterion is critical. As the number of autonomous entities increases, it becomes increasingly unwieldy to coordinate them with a centralized controller due to scalability issues. The natural question is thus "What distributed control algorithm can we use for this purpose?" As it turns out, in 1964 the mathematician M.L. Tsetlin devised a very elegant solution, which he called the Gur Game, to bring about "optimality" in a population of finite state automata without using a centralized controller. What is remarkable about his methodology is that it so closely parallels what we are trying to accomplish now with networks of computing entities. It is because of this that we have chosen to further investigate how the Gur Game can realize distributed control. Since the Gur Game works in a probabilistic manner, we will use the phrase "probabilistic distributed control" to describe this work. Indeed, it is the thesis of this dissertation that the Gur Game is an effective means to achieve probabilistic distributed control in many network applications. In this dissertation, our first application of the Gur Game is to the problem of adjusting the resolution of active entities in ad hoc networks, such as sensor networks. We next present an extension of the Gur Game that we call the Hierarchical Gur Game. This Hierarchical Gur Game addresses some scalability issues associated with the baseline (flat) Gur Game. We next study how the Gur Game can be used in the domain of power control for ad hoc networks. Next, we examine the concept of the Gur Game duty cycle. Following that we explore what happens when we break the original Gur Game into separate, smaller games. We also demonstrate how allowing gurs to be mobile helps provide robustness in a tree hierarchy network. Finally, we analyze the Gur Game theoretically.
Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots, 1st edition
Authors: Paolo Arena, Paolo Arena, Luca Patan
Venue: Cognitive Systems Monographs (2009)

This volume collects the most significant results of the European research Project called SPARK whose aim was to develop new cognitive architectures and new sensing-perceiving-moving artefacts, inspired by the basic principles of living systems and based on the concept of self-organization in complex systems generating spatial temporal patterns. The book is organized in three parts. Part I Principles of insect perception reports a thorough survey of the state of the art in perception for action. The central Part II Cognitive Models describes new approaches to attain high cognitive capabilities in roving robots, for which detailed Structures are still lacking, even referring to insect brain. Some of the models introduced rely on the insect-inspired parallel sensory-motor pathways, others exploit the emergence Spatial-temporal Patterns (used as perceptual states) arising in non linear Reaction-Diffusion Equations, some others build upon the neural networks modelling Stick Insect locomotion. The last part of the book Part III Software/Hardware cognitive architecture and experiments is related to the implementation of the proposed cognitive models on a software /hardware FPGA-based architecture embedded on wheeled and legged robots. Multimedia material, related to the experiments presented in the book,
Technology use by rural and urban oldest old
Authors: James F. Calvert,  Jr, Jeffrey Kaye, Marjorie Leahy, Kari Hexem, Nichole Carlson
Venue: Technology and Health Care (2009)

Objectives: Technologies designed to optimally maintain older people as they age in their desired places of residence are proliferating. An important step in designing and deploying such technologies is to determine the current use and familiarity with technology in general among older people. The goal of this study was to determine the extent that community-dwelling elderly at highest risk of losing independence, the oldest old, use common electronic devices found in residential urban or rural settings. Methods: We surveyed 306 nondemented elderly age 85 or over; 144 were part of a rural aging study, the Klamath Exceptional Aging Project, and 181 were from an urban aging cohort in Portland. Results: The most frequently used devices were televisions, microwave ovens, and answering machines. Persons with mild cognitive impairment were less likely to use all devices than those with no impairment. Higher socioeconomic status and education were associated with use of more complicated devices. Urban respondents were more likely than rural ones to use most devices. Conclusion: Technology use by very old community-dwelling elderly is common. There are significant differences in use between rural and urban elderly.
Legal reasoning with argumentation schemes
Authors: Thomas F. Gordon, Douglas Walton
Venue: Proceedings of the 12th International Conference on Artificial Intelligence and Law (2009)

Legal reasoning typically requires a variety of argumentation schemes to be used together. A legal case may raise issues requiring argument from precedent cases, rules, policy goals, moral principles, jurisprudential doctrine, social values and evidence. We present an extensible software architecture which allows diverse computational models of argumentation schemes to be used together in an integrated way to construct and search for arguments. The architecture has been implemented in Carneades, a software library for building argumentation tools. The architecture is illustrated with models of schemes for argument from ontologies, rules, cases and testimonial evidence and compared to blackboard systems for hybrid reasoning.