Başlık için Bilgisayar Mühendisliği Bölümü listeleme
Toplam kayıt 216, listelenen: 118-137
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A new classification method based on rough sets theory
(Springer, 2018)Discovering the common attributes of an object is an important problem in classification. The rough sets theory (RST) successfully reveals the relationship between an object, its attributes and classes and helps bring a ... -
A new hybrid recommendation algorithm with privacy
(Wiley-Blackwell, 2012)Providing accurate and dependable recommendations efficiently while preserving privacy is essential for e-commerce sites to recruit new customers and keep the existing ones. Such sites might be able to increase their sales ... -
New method based on rough set for filling missing value
(Springer Verlag, 2018)The presence of missing value in a dataset can affect the performance of an analysis system such as classifier. To solve this problem many methods have been proposed in different studies using different theorems, analysis ... -
Nonlinear System Modeling and Control with Dynamic Fuzzy Wavelet Neural Network
(IEEE, 2015)This paper proposes a fuzzy neural network model which is dynamic and uses wavelet functions in its processing units. Because of that this new model is called as dynamic fuzzy wavelet neural network (DFWNN). In the DFWNN ... -
Nonlinear system modeling with dynamic adaptive neuro-fuzzy inference system
(IEEE Computer Society, 2014)This paper introduces the architecture and learning procedure of dynamic adaptive neuro-fuzzy inference system (DANFIS) for nonlinear dynamical system modeling. In our DANIS model, IF part of the rules are comprised of ... -
Nonlinear System Modeling With Dynamic Adaptive Neuro-Fuzzy Inference System
(IEEE, 2014)This paper introduces the architecture and learning procedure of dynamic adaptive neuro-fuzzy inference system (DANFIS) for nonlinear dynamical system modeling. In our DANIS model, IF part of the rules are comprised of ... -
A novel framework for SMS spam filtering
(2012)A novel framework for SMS spam filtering is introduced in this paper to prevent mobile phone users from unsolicited SMS messages. The framework makes use of two distinct feature selection approaches based on information ... -
A novel multi-sensor and multi-Topological database for indoor positioning on fingerprint techniques
(Institute of Electrical and Electronics Engineers Inc., 2015)In fingerprinting-based indoor positioning systems, Received Signal Strength (RSS) values are collected at predetermined reference points to construct a fingerprint map. A well-established fingerprint database plays an ... -
A Novel Multi-Sensor and Multi-Topological Database for Indoor Positioning on Fingerprint Techniques
(IEEE, 2015)In fingerprinting-based indoor positioning systems, Received Signal Strength (RSS) values are collected at predetermined reference points to construct a fingerprint map. A well-established fingerprint database plays an ... -
A novel probabilistic feature selection method for text classification
(Elsevier Science BV, 2012)High dimensionality of the feature space is one of the most important concerns in text classification problems due to processing time and accuracy considerations. Selection of distinctive features is therefore essential ... -
A novel shilling attack detection method
(Elsevier Science BV, 2014)Recommender systems provide an impressive way to overcome information overload problem. However, they are vulnerable to profile injection or shilling attacks. Malicious users and/or parties might construct fake profiles ... -
Olasılıksal Kaba Kümeler Teorisi Yaklaşımı İle Ekg Verilerinin Sınıflandırılması
(2016)Sınıflandırma, bilgisayar mühendisliğinde bir veri kümesinin, uzmanlar yerine bilgisayarlar tarafından, özellikleri aracılığı ile gruplanması işlemidir. Kaba kümeler teorisi son yıllarda sınıflandırma problemlerinde gerekli ... -
On a dynamic wavelet network and its modeling application
(Springer-Verlag Berlin, 2003)This study presents a nonlinear dynamical system modeling with dynamic wavelet networks (DWNs). Wavelet is widely used in processing of signals and data. It has been also shown that wavelet can be effectively used in ... -
On Binary Similarity Measures for Privacy-Preserving Top-N Recommendations
(Scitepress, 2010)Collaborative filtering (CF) algorithms fundamentally depend on similarities between users and/or items to predict individual preferences. There are various binary similarity measures like Kulzinslcy, Sokal-Michener, Yule, ... -
On circular traffic sign detection and recognition
(Pergamon-Elsevier Science LTD, 2016)Automatic traffic sign detection and recognition play crucial roles in several expert systems such as driver assistance and autonomous driving systems. In this work, novel approaches for circular traffic sign detection and ... -
On classification of abstracts obtained from medical journals
(SAGE Publications LTD, 2019)Classification of medical documents was mostly carried out on English data sets and these studies were performed on hospital records rather than academic texts. The main reasons behind this situation are the lack of publicly ... -
On constituent chunking for Turkish
(Elsevier Sci LTD, 2018)Chunking is a task which divides a sentence into non-recursive structures. The primary aim is to specify chunk boundaries and classes. Although chunking generally refers to simple chunks, it is possible to customize the ... -
On feature weighting and selection for medical document classification
(Springer Verlag, 2018)Medical document classification is still one of the popular research problems inside text classification domain. In this study, the impact of feature selection and feature weighting on medical document classification is ... -
On the Discovery of Fake Binary Ratings
(Assoc Computing Machinery, 2015)Privacy-preserving collaborative filtering methods promise to preserve privacy of individuals. In general, privacy has two aspects, preserving the rating values of users and masking who rated which items. In this study, ... -
On the Privacy of Horizontally Partitioned Binary Data-Based Privacy-Preserving Collaborative Filtering
(Springer Int Publishing Ag, 2016)Collaborative filtering systems provide recommendations for their users. Privacy is not a primary concern in these systems; however, it is an important element for the true user participation. Privacy-preserving collaborative ...