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Big data is a big business, and effective modeling of this data is key. This paper provides a comprehensive multidimensional analysis of various open source tools for machine learning with big data. An evaluation standard is proposed along with detailed ...

With the rapid deployment of a number of sensors, it is crucial to efficiently manage their data streams with heterogeneous properties. To achieve various sensor applications such as discovery and mashup, a method of retrieving meaningful information ...

Bioinformatics datasets contain a number of characteristics, such as noisy data and difficult to learn class boundaries, which make it challenge to build effective predictive models. One option for improving results is the use of ensemble learning ...

This paper describes a real-time information integration and analytics system called InXite for multi-purpose applications. InXite is designed to detect evolving patterns and trends in streaming data including social media data (e.g., tweets). InXite ...

Technology and the digital world have been making an important part of people's lives nowadays. As death is unquestionably a crucial and fundamental part of life, technology and the digital world ought to play an equally important role in end of life ...

Industry and government organisations across the world increasingly use social media for Customer Relationship Management (CRM) activities that include communicating with customers about their services/products and distilling customer opinions for ...

In this paper we describe a new approach to creating rich, dynamic and customized maps for business or leisure activities, and demonstrate how the approach can be implemented through a prototype system. The approach is aimed at changing the way we map ...

Event-based online social networks are Internet-based services that enable users to participate in real world experiences together. Event-based social networks can be created by a community of end-users based on their own interests in specific types of ...

Nowadays, in such a high-tech living lifestyle, profusion of multimedia data are produced and propagated around the world. To identify meaningful semantic concepts from the large amount of data, one of the major challenges is called the data imbalance ...

Removing perceptual redundancy plays an important role in image compression. In this paper we developed a foveated just-noticeable-difference (FJND) model to quantify the perceptual redundancy in the image and integrate it in the H.265/HEVC intra ...

The Harmonized Tariff Schedule for the classification of goods is a major determinant of customs duties and taxes. The basic HS Code is 6 digits long but can be extended according to the needs of the countries such as application of custom duties based ...

Learning from imbalanced data sets is a hot and challenging research topic with many real world applications. Many studies have been conducted on integrating sampling-based techniques and ensemble learning for imbalanced data sets. However, most ...

Many/most of the challenges facing urban researchers and indeed policy makers relate to discovery of, access to and subsequent use of heterogeneous urban data sets. These data are typically held by a myriad of government agencies (local, State and ...

Reuse requires high-level representation models. Ontology is commonly defined as a formal specification of knowledge conceptualization in a consensual form. OWL (Web Ontology Language) is the most used and expressive ontology description language that ...

With decades of investments, productivity has still continued to be a major issue for many digital circuit designers. One of the most important factors in improving productivity is design reuse, which current tools have yet to fully exploit. Reusing ...

In this paper, we propose a novel approach to the problem of integrating code forges based on metadata (e.g., programming language, database, intended audience, operating system), similar software projects and software developers. We review the current ...

With the development of remote sensing technology, it becomes possible for the detection and identification of targets from remote sensing images. In this paper, we propose a new method integrating the bottom-up and the top-down mechanisms for the ship ...

Devices, objects, and sensors are getting to connect with one another in the Internet of Things (IoT). Although there are existing models for representing sensors, there is lack of methods of integrating sensor data with domain knowledge to construct ...

This article deals with the problem of fault detection for inertial sensors of unmanned aerial vehicles (UAVs). Novel fault detection (FD) method for nonlinear systems is proposed using the residuals generated by the second-order divided difference ...

Intelligent Transportation System (ITS) is an important application domain for information reuse and integration. Efficient integration and deployment of information and communication technologies (ICT) can potentially reduce travel time and emission, ...

Component technology is an attracting mean for software development since it offers many advantages as reusability, interoperability, and adaptability. Various models and frameworks, either formal or informal ones, are developed around component ...

The emerging field of Cloud Computing provides several advantages over traditional in-house IT services, such as accessing to elastic on-demand computing and storage over the Internet, and cost effective pay-per-use subscription plans. However, ...