Computer and Information Sciences: Proceedings of the 25th International Symposium on Computer and Information Sciences

ISBN-13: 9789048197934 / Angielski / Twarda / 2010 / 424 str.

Erol Gelenbe; Ricardo Lent; Georgia Sakellari

Opis

Computer and Information Sciences is a unique and comprehensive review of advanced technology and research in the field of Information Technology. It provides an up to date snapshot of research in Europe and the Far East (Hong Kong, Japan and China) in the most active areas of information technology, including Computer Vision, Data Engineering, Web Engineering, Internet Technologies, Bio-Informatics and System Performance Evaluation Methodologies.

Spis treści

1 Algorithms. Partially persistent B-trees with Constant Worst Case Update Time; George Lagogiannis, Nikos Lorentzos. Using Mixture of Experts Method in Combining Search-Guiding; Heuristics for Theorem Proving; Cemal Acar Erkek, Tunga G¨ung¨or. Univariate Margin Tree; Olcay Yildiz. Transformational Programming and the Derivation of Algorithms; Martin Ward, Hussein Zedan. Factorizing Three-way Binary Data; Radim Belohlavek, Vilem Vychodil. Boosting Pattern Matching Performance via k-bit Filtering; M. Oguzhan Kulekci, et al. Network Flow Approaches for an Asset-task Assignment Problem with Execution Uncertainty; Stelios Timotheou. A Genetic Algorithm Approach to the Artillery Target Assignment Problem; Burcin Sapaz, et al. 2 Modeling and Performance Evaluation of Systems and Networks. Scheduling Services in a Queueing System with Impatience and Setup Costs; Alain Jean-Marie, Emmanuel Hyon. Multiple Class Symmetric G-networks with Phase Type; Thu Ha Dao Thi, et al. Stochastic Comparisons Applied to G-Networks with Catastrophes; Hind Castel, et al. Measures for Evaluating the Software Agent Pro-Activity; Hector Soza, et al. On Product-form Approximations of Cooperating Stochastic Models; Andrea Marin, Maria Grazia Vigliotti. Queues with Limited Volume - A Diffusion Approximation Approach; Tadeusz Czachorski, et al. Exactly Solvable Stochastic Processes for Traffic Modelling; Maxim Samsonov, et al. Actor Petri Net Model: Toward Suitable and Flexible Level Representation of Scientific Workflows; Nanshan Du, et al. 3 Bioinformatics & Bioengineering. Developing a Scoring Function for NMR Structure-based Assignments using Machine Learning; Mehmet Cagri Calpur, et al. Data and Model Driven Hybrid Approach to Activity Scoring of Cyclic Pathways; Zerrin Isik, et al. A Novel Hybrid Electrocardiogram Signal CompressionAlgorithm with Low Bit-Rate; Hakan Gurkan, et al. 4 Data Engineering. A Roadmap for Semantifying Recommender Systems Using Preference Management; Dilek Tapucu, et al. Summarization of Documentaries; Kezban Demirtas, et al. A Content Boosted Collaborative Filtering Approach For Movie Recommendation Based On Local & Global Similarity and Missing Data Prediction; Gözde Özbal, et al. A Hybrid Named Entity Recognizer for Turkish with Applications to Different Text Genres; Dilek Küçük, Adnan Yazici. Translation Relationship Quantification: A Cluster-Based Approach and its Application to Shakespeare’s Sonnets; Fazli Can, et al. Conceptual Hierarchical Clustering of Documents using Wikipedia knowledge; Gerasimos Spanakis, et al. Data Engineering in Graph Databases; Byron Choi, et al. Distributed Database Design with Genetic Algorithm and Relation Clustering Heuristic; Ender Sevinc, Ahmet Cosar. 5 Learning and Clustering Methods. Density Sensitive Based Spectral Clustering; Qingsheng Zhu, Peng Yang. Dependence Analysis for Regression Test Suite Selection and Augmentation; Hasan Ural, Husnu Yenigun. FLIP-ECOC: A Greedy Optimization of the ECOC Matrix; Cemre Zor, et al. Learning in the Feed-forward Random Neural Network: A Critical Review; Michael Georgiopoulos, et al. 6 Computer and Wireless Networks. An Energy Efficient Location Service for Mobile Ad Hoc Networks; Zijian Wang, et al. A Low-latency and Self-adapting Application Layer Multicast; Ricardo Lent, et al. A Data-centric Framework for Network Enabled C4ISR Software Systems; Huseyin Nihal Karaca, et al. A Decentralised, Measurement-based Admission Control Mechanism for Self-Aware Networks; Georgia Sakellari. A Heuristic for Fast Convergence in Interference-Free Channel Assignment Using D1EC Coloring; Fabio Campoccia, Vincenzo Mancuso. Combining Monitoring and

O autorze

Erol Gelenbe is the Professor in the Dennis Gabor Chair at Imperial College. He is a Fellow of IEEE and ACM, and won the ACM SIGMETRICS Award in 2008 for his work on computer and network performance modeling and analysis. He has just been elected a Foreign Member of the Hungarian Academy of Sciences. A native of Turkey, he is a Member of the French National Academy of Engineering (Academie des Technologies) and of the Turkish Academy of Sciences. He has also been recognised with governmental honours from France and Italy, and Honoris Causa doctorates from the University of Liege (Belgium), the University of Roma II (Italy), and Bogazici University (Istanbul, Turkey). Erol's research is currently funded by EPSRC and the EU FP7 Programme. He also serves as the Editor-in-Chief of The Computer Journal (British Computer Society).