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This paper reviews digital forensic phases and problems in evidence analysis phase and smart methods in this area. Among these phases, studies on the evidence analysis phase are examined. In the analysis of electronic evidences, use of smart methods and their development will contribute to information technology law and improvement of digital forensic devices. Effective evidence analysis both provides...
Detecting and analyzing similar words are an important component of natural language processing tasks such as information retrieval, document clustering, making dialog systems, word-sense disambiguation, text summarization and machine translation systems etc. Similar words have notable effect on machine translation. Especially, close languages such as Uyghur, Uzbek, Turkmen, Kazakh, Kyrgyz, Tatar,...
In this research, we have developed a web based TaqMan Array Cards (TMDK) Data Management System that responds to the needs of collecting, sharing and uploading data of many surveillance projects, and a Ct-value prediction algorithm to determine target gene existence in sample. Any epidemic case can rapidly be detected and comparative evaluations can be done for the results of different sites while...
Automatic gender detection from face images is a challenging problem. In the literature, different techniques have been applied so far on face images for gender detection. In contrast to these existing methods, we have analyzed the usage of first-order configural relations of the face to predict gender from images by using machine learning algorithms. In experiments on the dataset of Wikipedia profile...
Digital forensics is a multi-disciplinary science area that sets standards for the collection, storage, compilation and analysis of electronic data. To evaluate data in judicial information, the evidence must have certain standards. The evidence includes many types of data such as audio, video and text that exist in electronic devices. Especially biometric data that contain specific information about...
We studied the texts in Kazakh and determined the parts of speech that define the text mood. Based on the conducted studies a lot of phrases were identified as determining the mood of the text. The technique of fuzzy inference associated with the estimation of the general level of the hotel state on the basis of the calculated criterion for each aspect is proposed. The criterion is measured in percent...
In this study, we investigated Cellular Automata form is discrete computational model working on more than one cell as pattern attractor. Cellular Automata is a computational model works on grid space discretely. State of a cell at time t+1 is updated depends its own state and neighboring states. Properties of rules in rule vector, characterization of attractor's state in Multiple Attractor Cellular...
This study presents Migrating Birds Optimization (MBO) which is a novel meta-heuristic algorithm for the solution of 0-1 multidimensional knapsack problem. In the study, the basic migrating birds optimization algorithm is used and change is made to the only neighborhood structure of this algorithm for adapting to the addressed problem. The performance of the algorithm is examined on the test problems...
Thanks to e-commerce in an increasingly developing structure the number of customer feedbacks grows rapidly. Due to the great increase in the number of e-commerce enterprises and customers, it becomes difficult for a potential customer to read these feedbacks while decision-making. It becomes almost impossible for the producer to monitor these feedbacks, as well. Product feature extraction from customer...
Fish feeding is a relaxing hobby, as well as being used for psychological treatment and the decorative nature of aquariums, it also holds an important place in daily life, at home and in offices of people. In this study, the data obtained from the automated aquarium system: aduarium and the tests made with this system are shared.
Nowadays, social networks, whose application areas are increasing day by day; Such as data mining, protein-gene interaction networks, online social networks, transport networks, academic information networks, and telecommunications networks. Many real-world complex networks have a naturel bipartite structure. In bipartite networks, which have become the focus of many researchers who have been dealing...
Barter system is an alternative commerce approach where customers meet at a marketplace in order to exchange their goods or services without currency. E-barter systems, also gain attention with the rise of e-commerce. Barterers search databases for goods and services they need. In this paper, the integration of ontology and agent systems is proposed as a solution for searching in diverse barter databases...
Cyber-attacks wasorganized in a simple and random way in the past. However attacks are carried out systematically and long term nowadays. In addition, the high calculation volume and continuous changes in network data distribution have made it more difficult to analyze data and detect abnormal behaviors within. For this reason, big data solutions have become essential. In this paper, firstly network...
Ontologies are domain-specific constructs developed for many different purposes. But, they can be different even within the same domain. Ontology matching is a method for finding the same things in between existing ontologies by looking at semantic similarities. Especially, ontology matching algorithms are used for data integration, reuse of existing ontologies, and information discovery. However,...
In this paper a novel powerful method for Information Retrieval based Factoid Question Answering system is proposed. A factoid question has exactly one correct answer, and the answer is mostly a named entity like person, date, location etc. A rule-based method for question classification, query formulation and answer processing methods are explored based on our coarse-grained semantic representation...
This study was carried out within the scope of an undergraduate thesis. To produce an Arduino based two dimensional plotter mechanical parts were collected, assembled and targeted mechanism was created. After the integration of the stabilizers into the mechanism that was created and the project framework is revealed in a healthy way, the hardware structure is completed by adding the necessary electronic...
e-Invoicing Application in Turkey has been implemented since 2010. But after 2014 it has reached widespread usage by government regulation and as of 2017 the number of e-invoice users has exceeded sixty thousands. Generating invoices according to a single standard in electronic environment has made it easier to analyze and inspect through the data. In this case, the analyzes can be performed on the...
Deep Learning is appealing for learning from large amounts of unlabeled/unsupervised data, making it attractive for extracting meaningful representations and patterns from big data. Deep learning, by its simplest definition, is expressed as the application of machine learning methods to the big data. In this study, it was investigated how to apply hierarchical deep learning models for the problems...
Public transport applications, which aim to propose the ideal route to end users, have commonly been used by passengers. However, the ideal route for public transport varies depending on the preferences of users. The shortest path is preferred by most users as a primary criterion for the ideal route. According to our research, Dijkstra's Algorithm is mostly used in order to find shortest path. However,...
OWA (Ordered Weighted Averaging) operator provides a general class of parameterized mean type aggregation operators. It is an important tool, having ability to reflect the strategy of a Decision Maker in decision making problems. The idea of using a stress function to generate the OWA weights was introduced in this study. We introduce a new fuzzy c-regression models (FCRM) based approach to obtain...
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