Başlık için Bilgisayar Mühendisliği Bölümü listeleme
Toplam kayıt 216, listelenen: 61-80
-
Effects of Inconsistently Masked Data Using RPT on CF with Privacy
(Assoc Computing Machinery, 2007)Randomized perturbation techniques (RPT) are applied to perturb the customers' private data to protect privacy while providing accurate referrals. In the RPT-based collaborative filtering (CF) with privacy schemes, proposed ... -
Effects of inconsistently masked data using RPT on CF with privacy
(2007)Randomized perturbation techniques (RPT) are applied to perturb the customers' private data to protect privacy while providing accurate referrals. In the RPT-based collaborative filtering (CF) with privacy schemes, proposed ... -
Effects of similarity measures on the quality of predictions
(2013)Providing accurate predictions efficiently is vital for the success of recommender systems. There are various factors that might affect the quality of the predictions and online performance. Similarity metric used to ... -
Efficient Integrity Verification for Outsourced Collaborative Filtering
(IEEE, 2014)Collaborative filtering (CF) over large datasets requires significant computing power. Due to this data owning organizations often outsource the computation of CF (including some abstraction of the data itself) to a public ... -
Ekg Sinyallerinin Kaba Kümeler Teorisi Kullanılarak Sınıflandırılması
(2014)Kaba kümeler teorisi (KKT), bulanık kümeler gibi uzman sistemler için analiz ve bilgi çıkarımında kullanılan kural tabanlı bir yöntemdir. Kaba kümeler eksik, tutarsız ve belirsiz veri kümelerini düzenleyerek değerlendirme ... -
Enabling peer-to-peer communication for hosts in private address realms using IPv4 LSRR option and IPv4+4 addresses
(Inst Engineering Technology-Iet, 2009)Enabling peer-to-peer (P2P) communication for hosts behind network address translation (NAT) boxes is an important and difficult problem. Existing proposals, for example, UPnP, MIDCOM, TURN, STUN, STUNT, P2PNAT, NATBlaster ... -
An entropy-based neighbor selection approach for collaborative filtering
(Elsevier, 2014)Collaborative filtering is an emerging technology to deal with information overload problem guiding customers by offering recommendations on products of possible interest. Forming neighborhood of a user/item is the crucial ... -
Estimating Kriging-based predictions with privacy
(2013)Kriging is a well-known prediction method. It interpolates the value of an unmeasured location from nearby measured locations. In a traditional Kriging interpolation, a client (an entity that is looking for a prediction ... -
Estimating NBC-based recommendations on arbitrarily partitioned data with privacy
(Elsevier, 2012)Providing partitioned data-based recommendations has been receiving increasing attention due to mutual advantages. In case of limited data, it is not likely to estimate accurate and reliable predictions. Therefore. e-commerce ... -
Estimation of cutting speed in abrasive water jet using an adaptive wavelet neural network
(Springer, 2015)Abrasive water jet cutting has been proven to be an effective technology for processing various engineering materials. To determine the optimal jet traverse rate (cutting speed) in abrasive water jet cutting is not very ... -
The estimation of daily temperature by artificial and fuzzy neural network methods
(2007)In this study, the estimation of daily temperature of a region by fuzzy logic is discussed and some results are presented. Temperature is an atmospheric parameter which can be estimated by means of some other atmospheric ... -
An F-Score-Weighted Indoor Positioning Algorithm Integrating WiFi and Magnetic Field Fingerprints
(Hindawi LTD, 2018)Indoor positioning systems have attracted much attention with the recent development of location-based services. Although global positioning system (GPS) is a widely accepted and accurate outdoor localization system, there ... -
Feature Selection and Comparison of Classification Algorithms For Intrusion Detection
(2018)The increase in the frequency of use of the Internet causes the attacks on computer networks to increase. Such phenomena also increase the importance of intrusion detection systems. In this paper, KDD Cup 99 dataset is ... -
Feature selection for power quality event classification [Güç kalitesi olaylarinin siniflandirilmasi için öznitelik seçimi]
(2008)Power quality events may result in interruption or malfunctioning of electrical equipments that are fed through the voltage line. Detection of such cases by monitoring the voltage waveform remains an important engineering ... -
Finding the State Sequence Maximizing P(O, I vertical bar lambda) on Distributed HMMs with Privacy
(IEEE, 2009)Hidden Markov models (HMMs) are widely used by many applications for forecasting purposes. They are increasingly becoming popular models as part of prediction systems in finance, marketing, bio-informatics, speech recognition, ... -
Finding the state sequence maximizing P(O, I\?) on distributed HMMs with privacy
(2009)Hidden Markov models (HMMs) are widely used by many applications for forecasting purposes. They are increasingly becoming popular models as part of prediction systems in nance, marketing, bio-informatics, speech recognition, ... -
Frequent Pattern Mining Over Movie Plot Keywords
(Amer Soc Mechanical Engineers, 2012)In this work we run Mahout's FP-Growth implementation, which is a frequent pattern mining algorithm, on Internet Movie Database (IMDb) movie keywords. Results of mining keyword-keyword relations revealed that there exist ... -
From existing trends to future trends in privacy-preserving collaborative filtering
(Wiley Periodicals, Inc, 2015)The information overload problem, also known as infobesity, forces online vendors to utilize collaborative filtering algorithms. Although various recommendation methods are widely used by many electronic commerce sites, ... -
A Fuzzy Wavelet Neural Network Model for System Identification
(IEEE, 2009)In this paper, a fuzzy wavelet neural network model is proposed for system identification problems. The proposed model is obtained from the traditional Takagi-Sugeno-Kang (TSK) fuzzy system by replacing the consequent part ... -
Fuzzy Wavelet Neural Network Models for Prediction and Identification of Dynamical Systems
(IEEE-Inst Electrical Electronics Engineers Inc, 2010)This paper presents fuzzy wavelet neural network (FWNN) models for prediction and identification of nonlinear dynamical systems. The proposed FWNN models are obtained from the traditional Takagi-Sugeno-Kang fuzzy system ...