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Cluster Grid based Response-time analysis module for the PIPE Tool

Harini Kulatunga, Ashok Argent-Katwala, William Knottenbelt
2007 Fourth International Conference on the Quantitative Evaluation of Systems (QEST 2007)  
This tool paper presents a PIPE module for response-time analysis of a Petri net's underlying Continuous Time Markov Chain (CTMC).  ...  Combining hypergraph partitioning and uniformization, as done in the Hypergraph-based Distributed Response-time Analyzer (HYDRA) [1] , has enabled a parallel implementation for computing passage-time  ...  Figure 1 . 1 [2] uniformization in HYDRA implements the parallel response-time analysis.  ... 
doi:10.1109/qest.2007.42 dblp:conf/qest/KulatungaAK07 fatcat:qzntey2z2zbuba6ujpvzbwcckq

Providing Dependability and Performance in the Cloud: Case Studies [chapter]

Nikolaus Huber, Fabian Brosig, Nicholas Dingle, Kaustubh Joshi, Samuel Kounev
2012 Resilience Assessment and Evaluation of Computing Systems  
Both tools calculate the full distributions of response times in Continuous Time Markov Chains (CTMCs) but require a different amount of interprocessor communication, and hence scale different in Cloud  ...  This is an approach on elastic capacity management based on online architecture-level performance models [25] . The goal is to maintain performance and efficient resource usage during run-time.  ...  In this section we study the scalability of two of our previously-presented performance analysis tools: a Laplace transform-based response time analyser [16] and the HYpergraph-based Distributed Response-time  ... 
doi:10.1007/978-3-642-29032-9_19 fatcat:ffcqypqyx5huhfpjp4ygkegtqy

Survey of Generative Methods for Social Media Analysis [article]

Stan Matwin, Aristides Milios, Paweł Prałat, Amilcar Soares, François Théberge
2021 arXiv   pre-print
Methods for analyzing sentiment over time are briefly discussed.  ...  are fed to RNNs in the social-response-based approaches.  ... 
arXiv:2112.07041v1 fatcat:xgmduwctpbddfo67y6ack5s2um

Report from Dagstuhl Seminar 14201 1 Executive Summary

Kira Adaricheva, Giuseppe Italiano, Hans Büning, György Turán, Kira Adaricheva, Giuseppe Italiano, Hans Büning, György Turán, Kira Adaricheva, Giuseppe Italiano, Hans Büning, György Turán (+1 others)
Dagstuhl Reports   unpublished
The seminar brought together researchers working in various areas of mathematics and computer science, mostly in algebra, logic, date base theory, artificial intelligence and data mining.  ...  This report documents the program and the outcomes of Dagstuhl Seminar 14201 "Horn formulas, directed hypergraphs, lattices and closure systems: related formalisms and applications".  ...  We laso consider hydra number of trees and we describe a family of trees for which the hydra number can be determined in polynomial time.  ... 
fatcat:pkchuw66knd5nlej6nhvewzxqy

Machine learning methods for generating high dimensional discrete datasets

Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra
2022 Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery  
This survey explores two possible approaches: (1) Constraint-based generation and (2) probabilistic generative modeling.  ...  A possible solution is to synthesize datasets that reflect patterns of real ones using a two-step approach: first, a real dataset X is analyzed to derive relevant patterns Z and, then, to use such patterns  ...  ACKNOWLEDGMENT This work has been partially funded by the PON-MIUR Project ARS01_00587 "SecureOpenNet: Distributed Ledgers for Secure Open Communities-SON," by the EU H2020 ICT48 Project "HumanE-AI-Net  ... 
doi:10.1002/widm.1450 fatcat:6zrvqfcvj5gtldrlyw4cqucqyi

Financial Cybercrime: A Comprehensive Survey of Deep Learning Approaches to Tackle the Evolving Financial Crime Landscape

Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac
2021 IEEE Access  
Analyzing QQ for malicious • Dynamicity: Graphs tend to evolve over time.  ...  Analyzing the order book over a period of time can result in identifying outliers, but requires vast amounts of trading information.  ... 
doi:10.1109/access.2021.3134076 fatcat:lm2upcaoabbnbie6r4sfzhjh4y

JA4AI-Judgment Aggregation for Artificial Intelligence(Dagstuhl Seminar 14202) The Future of Refactoring (Dagstuhl Seminar 14211) Geometric Modeling (Dagstuhl Seminar 14221)

Kira Adaricheva, Giuseppe Italiano, Hans Büning, György, Franz Dietrich, Ulle Endriss, Davide Grossi, Gabriella Pigozzi, Marija, Danny Dig, William Griswold, Emerson Murphy-Hill (+5 others)
2014 unpublished
We laso consider hydra number of trees and we describe a family of trees for which the hydra number can be determined in polynomial time.  ...  This method is applied to find a signal based on the expression of five microRNA that is a predictor for survival (response to treatment) of patients with ovarian cancer.  ...  Based on spacetime constraints, we propose a framework for controlling the motion of deformable objects that offers interactive response times.  ... 
fatcat:vj6imehzbzdrrohksb4yf6leru

2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57

2019 IEEE Transactions on Geoscience and Remote Sensing  
., Insect Biological Parameter Estimation Based on the Invariant Target Parameters of the Scattering Matrix; TGRS Aug. 2019 6212-6225 Hu, C., see Zhang, M., TGRS Sept. 2019 6666-6674 Hu, C., Zhang,  ...  Jiang, K., +, TGRS Aug. 2019 5799-5812 Gamma distribution Bivariate Gamma Distribution for Wavelength-Resolution SAR Change Detection.  ...  Wang, C., +, TGRS Jan. 2019 561-573 Hypergraph p-Laplacian Regularization for Remotely Sensed Image Recognition.  ... 
doi:10.1109/tgrs.2020.2967201 fatcat:kpfxoidv5bgcfo36zfsnxe4aj4

D7.1.3: Report on Applications Enabling for Capability Science in the MIC Architecture

Xu Guo
2013 Zenodo  
Each accepted Xeon Phi enabling project was assigned to a PRACE expert who was responsible for the contact and technical support for the project.  ...  In this project, we propose and implement a hypergraph-partitioning-based method to attain temporal locality in the above-mentioned multiple writes to device memory.  ...  Another step was to analyze the code vectorization with the aid of the vec-report compiler option.  ... 
doi:10.5281/zenodo.6553059 fatcat:cbttnapgvjga3eqiytdne7jv2a

Efficiently Mining Interesting Emerging Patterns [chapter]

Hongjian Fan, Kotagiri Ramamohanarao
2003 Lecture Notes in Computer Science  
As a hybrid of the EP-based classifier and Naive Bayes (NB) classifier, BCEP offers the following advantages: (1) it is based on theoretically well-founded mathematical model as in Large Bayes (LB); (2  ...  In this doctoral dissertation, we study the following three major problems involved in the discovery of Emerging Patterns and the construction of classification systems based on Emerging Patterns: 1.  ...  At the same time, there is a growing realization and expectation that data, intelligently analyzed and presented, will be a valuable resource to be used for a competitive advantage.  ... 
doi:10.1007/978-3-540-45160-0_19 fatcat:5dx6cgvn6jeb7pxzckxsc3ov3e

Acting under Uncertainty for Information Gathering and Shared Autonomy

Shervin Javdani
2018
We then present our framework, based on Hindsight Optimization or QMDP, enabling us assist for a distribution of user goals by minimizing the expected cost.  ...  We evaluate our framework on real users, demonstrating that our method achieves goals faster, requires less user input, decreases user idling time, and results in fewer user-robot collisions than those  ...  We refer to this hypergraph as the region hypergraph G r = (H, R).  ... 
doi:10.1184/r1/6714560 fatcat:pr7fhad7svfgjn3ebcjodzhkhi

Ensemble Methods for Classifiers [chapter]

Lior Rokach
Data Mining and Knowledge Discovery Handbook  
At classification time, each base classifier classifies the unlabeled instance.  ...  Other methods distribute the tuples based on the class distribution such that the class distribution in each subset is approximately the same as that in the entire dataset.  ... 
doi:10.1007/0-387-25465-x_45 fatcat:5bbvf2ipr5cjtmnfvdtfutkvnm

Discovery and Application of Data Dependencies

Eduardo Henrique Monteiro Pena, Eduardo Cunha De Almeida
2021 Anais do XXXIV Concurso de Teses e Dissertações da SBC (CTD-SBC 2021)   unpublished
Our experimental evaluation shows that our system selects relevant functional dependencies that help reducing the overall query response time for various types of query workloads.  ...  Interestingly, the exemplars for the SIM M C produced m ore uniform distributions if com pared to the base.  ...  O ur m ethod selects denial constraints based on their statistical significance w ith regards to data distribution.  ... 
doi:10.5753/ctd.2021.15749 fatcat:g3pssuaw3rfqlfja37uqm6ypom

Dagstuhl Reports, Volume 7, Issue 5, May 2017, Complete Issue [article]

2018
We show that this representation leads to reducing both the data size but also the rendering time. Second, we show that we can further ease user navigation by proposing 3D bookmarks.  ...  First, we propose an alternative image based representation for the 3D content, generated by peers and collected in a sprite tree.  ...  Goals of a simulation run are to minimize costly fine scale model executions, query/response times to databases and to load balance accesses to the distributed database.  ... 
doi:10.4230/dagrep.7.5 fatcat:ipv6ltpp6ngejao35zzoqko2ry