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Augmentative and Alternative Communication (AAC) apps are apps that enable non-speech communicative forms. One class of AAC apps are speech-generating devices (SGDs), where icons/pictures are tapped to produce spoken words. These apps are widely used to support communication and language learning for individuals with disabilities such as autism spectrum disorder (ASD). Given that these apps are used...
The majority of proposed behavioral biometric systems on smartphones are unimodal based, which rely only on a single source of information such as gesture or keystrokes. Unfortunately, these systems are suffering from some problems such as noisy data and non-universality. Moreover, they provide lower authentication accuracy in compare with the physiological biometrics such as Face. To address these...
Due to numerous benefits, sensor-rich smartwatches and wrist-worn wearable devices are quickly gaining popularity. The popularity of these devices also raises privacy concerns. In this paper we explore one such privacy concern: the possibility of extracting the location of a user's touch-event on a smartphone, using the inertial sensor data of a smartwatch worn by the user on the same arm. This is...
Developed modification data clustering algorithm for multispectral image segmentation based on their specific opportunities to allocate individual objects or spatial domain with specific spectral properties.
Detecting and disseminating food hazard information is a critical task that directly affects the public health. In spite of its importance, however, few systems are developed to automatically gather and analyze food hazard information. In this paper, we introduce our preliminary work to build such system. Our final system aims to detect and extract food hazard event from the live data shared on the...
In recent years, the data mining technology has been developed rapidly. New efficient algorithms are emerging. Association data mining plays an important role in data mining, and the frequent item sets are the highest and the most costly. This paper is based on the association rules data mining technology. The advantages and disadvantages of Apriori algorithm and FP-growth algorithm are deeply analyzed...
Association Rules is one of the data mining techniques which is used for identifying the relation between one item to another. Creating the rule to generate the new knowledge is a must to determine the frequency of the appearance of the data on the item set so that it is easier to recognize the value of the percentage from each of the datum by using certain algorithms, for example apriori. This research...
This paper presents ongoing work on the extraction of Arabic reported speech, made by Lebanese politicians, from Arabic Lebanese newspapers. This work is part of a functional system for extraction, presentation and archiving of reported speech made by Lebanese politicians, which constitutes a valuable resource for political analysts, press agents, company researchers and political actors. The system...
Historical data provide valuable information for the nderstanding of human interactions through time. However, mining this data is challenging as the available records are generally noise digitized handwritten, typewritten or press printed documents. In this research proposal, we plan to develop tools and techniques for pre-processing and extracting information from documents of the military dictatorship...
O Futebol é o desporto coletivo mais popular no mundo. Por outro lado, o conhecimento no Futebol tem sido reconhecido como um dos mais heterogéneos e ricos recursos que permite o desenvolvimento de novas metodologias para gestão de tomadas de decisões inteligentes. O Data Mining é um processo que nos permite encontrar novos padrões de conhecimento não-trivial em grandes conjuntos de dados, que potenciam...
Clustering is an important technology in data mining. Squeezer is one such clustering algorithm for categorical data and it is more efficient than most existing algorithms for categorical data. But Squeezer is time consuming for very large datasets which are distributed in different servers. Thus, we employ the distributed thinking to improve Squeezer and a distributed algorithm for categorical data...
Mentoring project newcomers is a crucial activity in software projects, and requires to identify people having good communication and teaching skills, other than high expertise on specific technical topics. In this demo we present Yoda (Young and newcOmer Developer Assistant), an Eclipse plugin that identifies and recommends mentors for newcomers joining a software project. Yoda mines developers'...
The construction of health service platform for the elderly must attach great importance to the health service demands of the elderly ,basing on innovation and whole process of health service by taking full advantage of IOT technology, data warehousing, data mining analysis technology, cloud computing technology and other modern information technologies, widely applying the modern trans-regional remote...
Existing literature shows that social demographics features of criminal network members are important. Examples include similarity on kinship, coming from the same family, the same ethnic origin or hometown, and living in the same neighborhoods. This paper investigates whether these social similarity features can be used for detecting members of criminal networks. We developed XSDM (Extended Social...
Sentiment-objects Extraction aims to identify the targets of opinion described in sentiment sentence. Previous research fails to deal with the long-distance dependencies in Chinese sentences such as opinion targets repeated and echo of the different part of sentence. In this paper, we describe a probabilistic approach that incorporates the long-distance dependencies to identify opinion targets. The...
Ant Colony Optimization (ACO) is used to detect edges in digital images. Such techniques generate a pheromone matrix that represents the edge information at each pixel position on the routes formed by ants dispatched on the image. In this paper a modified ACO-based edge detection is proposed. Ants try to find possible edges by using a heuristic information based on the degree of edginess of each pixel...
This study describes an approach to track groups over time as they participate in larger networks of groups. Groups were tracked in a Massive Multi-Player Online Role Playing Game (MMORPG), a context typical of many online venues and similar to some situations in the real world. Based on social scientific theories the study identified possible avenues to detect groups, explored game logs to identify...
Binary sequences with good autocorrelation have many applications in raging systems, spread spectrum communication systems, multi-terminal system identification, code division multiple access communications systems, and stream ciphers. Magma is a large, well-supported software package designed for computations in algebra, number theory, algebraic geometry and algebraic combinatory. We design the system...
To solve the problem that CABOSFV is only effective to high dimension sparse clustering problems of two-value attributes, this paper presents an improved high dimension sparse clustering approach by defining “absolute attribute distance”. The experimental results show that this method is efficient in outlier mining, and easy to calculate and program, so it is a more practical method.
In this paper we explore the properties of two dimensional Cellular Automata based on its matrix characteristics. In general, Cellular Automata is divided into two classes: group and nongroup Cellular Automata, each of which has its own matrix characteristics with the different properties. In this paper we restrict our study to nongroup Cellular Automata because of its uniqueness properties. The nongroup...
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