An Overview of the Use of Neural Networks for Data Mining Tasks

In the recent years the area of data mining has experienced a considerable demand for technologies that extract knowledge from large and complex data sources. There is a substantial commercial interest as well as research investigations in the area that aim to develop new and improved approaches for extracting information, relationships, and patterns from datasets. Artificial Neural Networks (NN) are popular biologically inspired intelligent methodologies, whose classification, prediction and pattern recognition capabilities have been utilised successfully in many areas, including science, engineering, medicine, business, banking, telecommunication, and many other fields. This paper highlights from a data mining perspective the implementation of NN, using supervised and unsupervised learning, for pattern recognition, classification, prediction and cluster analysis, and focuses the discussion on their usage in bioinformatics and financial data analysis tasks

Enabling equitable access to public transport information to enhance hybrid system use in Cape Town, South Africa

Though previously unscheduled public transport services were often seen as incompatible with equitable mobility goals, emerging cities are increasingly seeking to integrate these with new scheduled services to form hybrid public transport systems. In contrast to the abundance of services available, there is little information available to plan multimodal journeys across the hybrid system, limiting users' abilities to best use the system to meet their needs. This thesis investigated, through mixed research methods framed within Amartya Sen's capability approach, how to enable equitable access to public transport information on the hybrid system through information and communications technology. The research focussed on captive public transport users in the context of Cape Town, South Africa. Using (n=22) semi-structured interviews, candidate passenger information types for planning hybrid journeys across various scenarios were identified. A best-worst scaling study was undertaken (n=413) to gain a representative understanding of the least and most useful information types. A stated preference choice model was applied (n=501) to investigate what minimum information is required to make use of the hybrid network to access mobility opportunities in non-routine scenarios. The most useful information types were represented as different levels of certainty. These information types were: (1) frequency, (2) fare cost, (3) departure time, (4) arrival time, (5) safety walking to/from a station/stop, (6) safety onboard, and (7) safety while waiting at a stop. A further passenger survey (n=536), together with available secondary data, was analysed to gauge access to technologies and skills related to transport information use cases. This research found that none of the information types at the quality level desired is currently evenly available across the hybrid system, and no official information sources have the capacity to equitably reach captive users given current technological capabilities. The combination of gaps in information provision and adequate communication methods hinders users' informational capabilities to plan journeys that best meet their needs and preferences, and consequentially limits their access to opportunities through mobility. Strategies for understanding information needs, collecting the data necessary, and opening this data to the public through portals provide the adaptability and flexibility needed to deliver sustainable solutions

The Spatial Dimension of Narrative Understanding. Exploring Plot Types in the Narratives of Alessandro Baricco, Andrea Camilleri and Italo Calvino

The thesis explores the hypothesis that some plots might rely on spatiality as an organising principle that impacts on the narrative structure and, consequently, on the strategies adopted by readers to understand them. In order to lay the grounding for a spatially-oriented approach to narrative understanding, this study pursues both a theoretical line of inquiry and an applied line of inquiry in literary criticism. A cognitive stance on the nature of thought as non-propositional (Johnson-Laird 1983) and of the mind as embodied (Lakoff and Johnson 1999; Varela et al. 1993) provides the theoretical point of departure for the subsequent identification of a range of principles and frameworks that can be implemented to support a spatially-oriented interpretation according to the specificities of narratives. The three case studies provided by Alessandro Baricco’s City, Andrea Camilleri’s Montalbano crime series, and Italo Calvino’s Se una notte d’inverno un viaggiatore illustrate how a spatially-oriented perspective can add new interpretive angles and an unprecedented insight into the ways narratives achieve a coherent structure. At the same time, the case studies serve to extrapolate a set of features that constitute the preliminary criteria for assessing whether it would be fruitful to apply a spatially-oriented approach to a specific narrative. Baricco’s, Camilleri’s and Calvino’s works represent three plot types in which spatiality impinges in three different ways on the narrative, which, as I will show, can be epitomised by the image schemata of map, trajectory, and fractal. Far from simply referring to objects which plot is compared to, these images indicate procedural techniques and strategies of sense-making that a certain type of narrative is designed to prompt in the reader through textual cues. The study, in fact, builds on and advances a notion of plot to be analysed as a process rather than a given structure, something that readers understand as they read, and not retrospectively only

CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

Semantic Knowledge Graphs for the News: A Review

ICT platforms for news production, distribution, and consumption must exploit the ever-growing availability of digital data. These data originate from different sources and in different formats; they arrive at different velocities and in different volumes. Semantic knowledge graphs (KGs) is an established technique for integrating such heterogeneous information. It is therefore well-aligned with the needs of news producers and distributors, and it is likely to become increasingly important for the news industry. This article reviews the research on using semantic knowledge graphs for production, distribution, and consumption of news. The purpose is to present an overview of the field; to investigate what it means; and to suggest opportunities and needs for further research and development.publishedVersio

Towards Sustainable Transport and Mobility

Small island states are one of the most affected areas by sea-level rise, and sustainable transport development is crucial to their transition towards resiliency. However, their special spatial situations, insularity, geographic remoteness, small populations, and small economies resulted in high transport costs and car dependencies. The book moves away from the conventional focus on urban areas in the Global North and tourism. It gives a different perspective on sustainable transport, travelling, and commuting in the Caribbean and Europe. The authors provide research-based insights and show the state-of-the-art and future approaches for policy-makers, academics, and practitioners. Even beyond small island state research, the book offers an innovative outlook

COIN@AAMAS2015

COIN@AAMAS2015 is the nineteenth edition of the series and the fourteen papers included in these proceedings demonstrate the vitality of the community and will provide the grounds for a solid workshop program and what we expect will be a most enjoyable and enriching debate.Peer reviewe