These are the proceedings of the 9th annual event of C3S2E. The rate of development in computing science and use of software in all types of applications and devices making up the internet of things is dramatically increasing. Computer science and its offspring "software engineering" is hence, facing more challenges. With this explosion of data, the issues of privacy, security, indiscriminate data mining, and job displacement would have to be of concern to this community. The objectives of the C3S2E series is to address the current and future needs of the academic community in computer science and software engineering. It has served over the last nine years as a platform to present new findings on theoretical and/or practical application of many aspects of computing science. They include engineering reliable software, sharing experiences on integrating new technologies into products and applications, discussing the work on applying computing and software engineering to real-life situations, updating the development and operations of challenging computing related systems, and identifying unsolved challenges.
Proceeding Downloads
Building an Emotional Adaptive Platform
Nowadays, online learning seems to be more and more in demand, with several offers being presented to the students. Online learning platforms that can be at any time that is convenient for them at any pace, using any technology available in any place. ...
Efficient Delivery of Forecasts to a Nautical Sports Mobile Application with Semantic Data Services
Weather and sea-related forecasts provide crucial insights for the practice of nautical sports such as surf and kite surf, and mobile devices are appropriate interfaces for the visualization of meteorology and operational oceanography data. Data are ...
Voice recognition in the LabTablet electronic laboratory notebook
Research institutions are considering data repositories to manage their outputs and ensure their visibility. In many domains, purpose-built tools can help collect data and metadata as they are created. LabTablet is such a tool, designed to provide the ...
COMPASS: A Context-Monitoring Programming Assignment Suggestion System
Application-oriented assignments are considered as effective after-class practices in programming courses. A good application-oriented assignment will guide students using taught programming concepts as fundamental to accomplish the requirements ...
Assessing topic discovery evaluation measures on Facebook publications of political activists in Brazil
Automatic topic detection in document collections is an important tool for various tasks. In particular, it is valuable for studying and understanding socio-political phenomena. A currently relevant example is the automatic analysis of streams of posts ...
Problems in Agile Global Software Engineering Projects especially within Traditionally Organised Corporations: [An exploratory semi-structured interview study]
Agile methods are used for different kinds of software development, even for complex and distributed projects. This leads to a mixture of traditional company organisation as well as project organisation and agile concepts, especially when agile methods ...
Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams
The automatic content analysis of mass media in the social sciences has become necessary and possible with the raise of social media and computational power. One particularly promising avenue of research concerns the use of sentiment analysis in ...
Data Warehousing in Big Data: From Multidimensional to Tabular Data Models
Data warehouses are central pieces in business intelligence and analytics as these repositories ensure proper data storage and querying, being supported by data models that allow the analysis of data by different perspectives. Those perspectives support ...
Predicting User Preference Based on Matrix Factorization by Exploiting Music Attributes
With the emergence of online Music Streaming Services (MSS) such as Pandora and Spotify, listening to music online became very popular. Despite the availability of these services, users face the problem of finding among millions of music tracks the ones ...
Using Smartphones to Classify Urban Sounds
The aim of this work is to develop an application for Android able to classifying urban sounds in a real life context. It also enables the collection and classification of new sounds. To train our classifier we use the UrbanSound8K data set available ...
Automatic Classification of Anuran Sounds Using Convolutional Neural Networks
Anurans (frogs or toads) are closely related to the ecosystem and they are commonly used by biologists as early indicators of ecological stress. Automatic classification of anurans, by processing their calls, helps biologists analyze the activity of ...
A Novel Differential Privacy Approach that Enhances Classification Accuracy
In the recent past, there has been a tremendous increase of large repositories of data, examples being in healthcare data, consumer data from retailers, and airline passenger data. These data are continually being shared with interested parties, either ...
Ontology Based Rewriting Data Cleaning Operations
Dealing with increasing amounts of data creates the need to deal with redundant, inconsistent and/or complementary repositories which may be different in their data models and/or in their schema. Current data cleaning techniques developed to tackle data ...
Business Intelligence: Future Perspectives (April, 2016)
Business Intelligence (BI) is a field where most of its tools and procedures have gradually changed with time: the advent rise of information circulation, and the more valuable it gets, combined with the sophistication of the technology surrounding the ...
Tourism Recommendation System based in user's profile and functionality levels
This paper describes a proposal to develop a Tourism Recommendation System based in users enhanced profiles (composed by basic user information, relations between user and a set of stereotypes and user functionality levels). The main focus of this work ...
Analysis and Visualisation of Crowd-sourced Tourism Data
The tourist behaviour has changed significantly over the last decades due to technological advancement (e.g., ubiquitous access to the Web) and Web 2.0 approaches (e.g., Crowdsourcing). Tourism Crowdsourcing includes experience sharing in the form of ...
ECG denoising with Adaptive Filter and Singular Value Decomposition techniques
An electrocardiogram (ECG) system deals with several challenges related with noise sources. The denoising process is a challenge due to ECG signal amplitude with respect to noise amplitude. The filtering process can be executed by analogue filters or ...
Decision Support System for Check-up Tracks in Prevention of Cardiac Diseases
Heart conditions are one of the most dominant health problems in Portugal, and the cause of the highest mortality rate. Check-Up Track is a system which allows patients to have a general overview of their health and suggests daily routine changes that ...
An Overview of Evolutionary Computing for Interpretation in the Oil and Gas Industry
The Oil and Gas Exploration & Production (E&P) field deals with high-dimensional heterogeneous data, collected at different stages of the E&P activities from various sources. Over the years different soft-computing algorithms have been proposed for data-...
Music Playlist Recommendation Using Acoustic-Feature Transitions
Music is important in our daily life not only for entertainment but also for mental health. When listening to music, playlists are used to eliminate the need for individual selection. The creation of playlist is difficult and tedious for users and has ...
GPII: A Benchmark for Generic Purpose Image Information
The growing number of different models and approaches for Geographic Information Systems (GIS) brings high complexity when we want to develop new approaches and compare a new GIS algorithm. In order to test and compare different processing models and ...
SentiBubbles: Topic Modeling and Sentiment Visualization of Entity-centric Tweets
Social Media users tend to mention entities when reacting to news events. The main purpose of this work is to create entity-centric aggregations of tweets on a daily basis. By applying topic modeling and sentiment analysis, we create data visualization ...
Gathering data for professional tourism points of interest
Being tourism a major economic and social factor in some countries, with a percentage of 2.9% of world GDP, it makes planning tourism routes and presentation of tourism points of interest to potential customers, very important. Many tourists plan their ...
PersonalFit: Fitness App with intelligent plan generator
The growth of the mobile app market and the fitness market led to some interesting projects combining both areas to be developed over the last decade. In this paper we present PersonalFit an intelligent and adaptive prototype that helps gym clients to ...
Testing Snort with SQL Injection Attacks
Currently, information security is a significant challenge in the information era because businesses store critical information in databases. Therefore, databases need to be a secure component of an enterprise. Organizations use Intrusion Detection ...
Personalization using Big Data Analytics Platforms
Personalization can be defined as the customization of the outputs of a system based on the collected personal information of its users. Personalization techniques rely on user information, such as interests, preferences, geographic location, etc. The ...
Predicting a Starting Pitcher in Baseball by Heuristic Rules
Baseball is one of the best popular sports in Japan. A large number of baseball spectators are much interested in various predictions related to the game, such as starting players and outcome of the games. In this paper, we propose a heuristic method ...
Index Terms
- Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
C3S2E '13 | 42 | 12 | 29% |
Overall | 42 | 12 | 29% |