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83
ChemCloud: Chemical e-Science Information Cloud
"... Abstract: Our Chemical e-Science Information Cloud (ChemCloud) � a Semantic Web based eScience infrastructure � integrates and automates a multitude of databases, tools and services in the domain of chemistry, pharmacy and bio-chemistry available at the Fachinformationszentrum Chemie (FIZ Chemie), ..."
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-domain knowledge base DBpedia (Deutschland) implemented at FUB, which is extracted from Wikipedia (De) providing a public semantic resource for chemistry, and our well-established databases at FIZ Chemie such as ChemInform for organic reaction data, InfoTherm the leading source for thermophysical data, Chemisches
Symbolic rule extraction from neural networks: An application to identifying organizations adopting IT
"... Interest in the application of neural networks as tools for decision support has been growing in recent years. A major drawback often associated with neural networks is the difficulty in understanding the knowledge represented by a trained network. This paper describes an approach that can extract s ..."
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Cited by 4 (1 self)
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symbolic rules from neural networks. We illustrate how the approach successfully extracted rules from a data set collected from a survey of the service sectors in the United Kingdom. The extracted rules were then used to distinguish between organizations using computers from those that do not
CloudER: A Framework for Automatic Software Vulnerability Location and Patching in the Cloud
"... In a virtualization-based cloud infrastructure, customers of the cloud deploy virtual machines (VMs) with their own applications and customized runtime environments. The cloud provider supports the execution of these VMs without detailed knowledge of the guest applications and operating systems in t ..."
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in the VMs. In addition to elastic resource provisioning for the VMs, a desirable “value-added” service the cloud provider can provide is the emergency response to runtime incidences of software bugs and vulnerabilities. The challenge is to facilitate the automatic runtime detection, location, and patching
Review of Data Mining Techniques in Cloud Computing Database
, 2012
"... Data mining is the nontrivial extraction of implicit, previously unknown, and potentially useful information from data. It is the extraction of information from huge volume of data or set through the use of various data mining techniques. The data mining techniques like clustering, classification, n ..."
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Cited by 1 (0 self)
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, neural network, genetic algorithms help in finding the hidden and previously unknown information from the database. Cloud Computing is a web-based technology whereby the resources are provided as shared services. The large volume of business data can be stored in Cloud Data centres with low cost. Both
Collaboration Framework based on Social Semantic Web for Cloud Systems
"... Cloud services are used for improving business. Moreover, customer relationship management(CRM) approaches use social networking as tools to enhance services to customers. However, most cloud systems do not support the semantic structures, and because of this, vital information from social network s ..."
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and service providers. The knowledge acquisition module extracts rules from data gathered by social agents and these rules are used for collaboration and business strategy. This paper showed the implementations of processing of social network site data in the proposed semantic model and pattern extraction
Databases and ontologies Advance Access publication June 17, 2014 Literome: PubMed-scale genomic knowledge base in the cloud
, 2014
"... Motivation: Advances in sequencing technology have led to an expo-nential growth of genomics data, yet it remains a formidable challenge to interpret such data for identifying disease genes and drug targets. There has been increasing interest in adopting a systems approach that incorporates prior kn ..."
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as well as to keep up with new genomics findings. Results: In the Literome project, we have developed an automatic curation system to extract genomic knowledge from PubMed articles and made this knowledge available in the cloud with a Web site to facilitate browsing, searching and reasoning. Currently
Programming Knowledge Discovery Work ows in Service-Oriented Distributed Systems
"... In several scientific and business domains very large data repositories are generated. To find interesting and useful information in those repositories, efficient data mining techniques and knowledge discovery processes must be used. The exploitation of data mining techniques in science help scienti ..."
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scientists in hypothesis formation and give them a support on their scientific practices, whereas in industrial processes data mining can exploit existing data sources as a real value for companies that can take advantage from the knowledge that can be extracted from their large data sources. Data mining
K.: Security audits of multi-tier virtual infrastructures in public infrastructure clouds
- In: Proceedings of the 2010 ACM Workshop on Cloud Computing Security
, 2010
"... infrasightlabs.com Cloud computing has gained remarkable popularity in the recent years by a wide spectrum of consumers, ranging from small start-ups to governments. However, its benefits in terms of flexibility, scalability, and low upfront investments, are shadowed by security challenges which inh ..."
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Cited by 8 (4 self)
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inhibit its adop-tion. Managed through a web-services interface, users can configure highly flexible but complex cloud computing en-vironments. Furthermore, users misconfiguring such cloud services poses a severe security risk that can lead to security incidents, e.g., erroneous exposure of services due
Master’s Thesis Automated Security Analysis of Infrastructure Clouds
, 2010
"... Cloud computing has gained remarkable popularity in the recent years by a wide spectrum of consumers, ranging from small start-ups to governments. However, its benefits in terms of flexibility, scalability, and low upfront investments, are shadowed by security challenges which inhibit its adoption. ..."
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. In particular, these highly flexible but complex cloud computing environments are prone to misconfigurations leading to security incidents, e.g., erroneous exposure of services due to faulty network security configurations. In this thesis we present a novel approach in the security assessment of multi
An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing
"... Abstract. Cloud Computing is a new computational paradigm which has attracted a lot of interest within the business and research community. Its objective is to integrate a wide amount of heterogeneous resources in an online way to provide services under demand to different types of users, which are ..."
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Cited by 1 (0 self)
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Abstract. Cloud Computing is a new computational paradigm which has attracted a lot of interest within the business and research community. Its objective is to integrate a wide amount of heterogeneous resources in an online way to provide services under demand to different types of users, which
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