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An enhanced kernel weighted collaborative recommended system to alleviate sparsity

S. Babeetha, B. Muruganantham, S.Ganesh Kumar, A. Murugan
2020 International Journal of Electrical and Computer Engineering (IJECE)  
In this paper, an enhanced Collaborative Filtering system is proposed using Kernel Weighted K-means Clustering (KWKC) approach using Radial basis Functions (RBF) for eliminate the Sparsity problem where  ...  Collaborative Filtering (CF) system is one of the widely used democratic recommender system where it completely rely on user ratings to provide recommendations for the users.  ...  To predict the missing value in less dense rating matrix, a two step solution is introduced in [8, 19] using Co-clustering and Radial Basis Function.  ... 
doi:10.11591/ijece.v10i1.pp447-454 fatcat:7ys6m54szzhbforn6p24zy5hoa

Modeling of Recommendation System Based on Emotional Information and Collaborative Filtering

Tae-Yeun Kim, Hoon Ko, Sung-Hwan Kim, Ho-Da Kim
2021 Sensors  
Finally, speech information that was classified based on emotions and emotion information that was recognized through a collaborative filtering technique were used to predict user emotional preferences  ...  We used a support vector machine (SVM) algorithm and selected an optimal kernel function for recognizing the six target emotions.  ...  The emotion collaborative filtering module is used to find the level of similarity between a user's emotion information values for each content item and the values of other users so that the system can  ... 
doi:10.3390/s21061997 pmid:33808989 fatcat:2lpzfb5lnrbx5jm3fssdn3bqpu

Energy Efficient Hidden Markov ModelBased Target Tracking Mechanism in Wireless Sensor Networks

B. Amutha, M. Ponnavaikk
2009 Journal of Computer Science  
In this framework, wireless sensor nodes perform target detection and tracking, whereas target localization requires the collaborative signal processing between wireless sensor nodes for improving the  ...  Approach: For carrying out target tracking under the constraints imposed by the limited transmission capabilities of the wireless sensor nodes, the HMM model and the particle filter approach are adopted  ...  Simulation results verify that PF-RBF performs better than the Unscented Kalman Filter (UKF), PF and Unscented Particle Filter (UPF) in both robustness and accuracy whether the observation model used for  ... 
doi:10.3844/jcssp.2009.1082.1090 fatcat:un6yogghsrbk3ktjnm5vmiicgi

Shilling attack models in recommender system

Parneet Kaur, Shivani Goel
2016 2016 International Conference on Inventive Computation Technologies (ICICT)  
These systems can be based on various approaches: content based filtering, collaborative filtering, knowledge based approach and hybrid filtering.  ...  The results show that although segment attack has impact on item based collaborative filtering, still it has higher robustness than user based collaborative filtering approach.  ...  between the users are cluster models and collaborative filtering.  ... 
doi:10.1109/inventive.2016.7824865 fatcat:hvb4ttxcejdnlolcpm7s7fdjdi

Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data

Meghana Deodhar, Joydeep Ghosh
2008 2008 IEEE International Conference on Data Mining Workshops  
This approach forms a very general framework for predicting missing entries in the data matrix/tensor as well as for making predictions for new entities, e.g., new customers or future time intervals.  ...  and concurrently learning predictive models for each (evolving) homogeneous partition.  ...  We are also immensely grateful to Hyuk Cho for insightful discussions.  ... 
doi:10.1109/icdmw.2008.17 dblp:conf/icdm/DeodharG08 fatcat:ck4msdr7njbfpnnhus46zs42ky

Discriminating Input Variables for Fraud Detection using Radial Basis Function Network

I. O. Alabi, R. G. Jimoh
2018 Circulation in Computer Science  
Radial basis function (RBF) network, was used to build base models that identifies and detect the risk of fraud in transactions.  ...  Fraud is an adaptive crime; special methods of data gathering and analysis are required to combat fraud issues as criminals often quest for dubious techniques to evade detection.  ...  However, this dataset is of interest because it consists of a good mix of continuous and nominal attributes, a few missing values and no special knowledge is required to understand it.  ... 
doi:10.22632/ccs-2017-252-70 fatcat:jjxo5hmw5jf6vdix3t4hqpl2hu

A cooperative expert based support vector regression (Co-ESVR) system to determine collar dimensions around bridge pier

Afshin Jahangirzadeh, Shahaboddin Shamshirband, Saeed Aghabozorgi, Shatirah Akib, Hossein Basser, Nor Badrul Anuar, Miss Laiha Mat Kiah
2014 Neurocomputing  
SVR Luc , SVR Ldc and SVR Lw ) are set around a rectangular collar to predict the collar dimensions around a bridge pier.  ...  In this study, a new procedure to determine the optimum dimensions for a rectangular collar to minimize the temporal trend of scouring around a pier model is proposed.  ...  The proposed agents, namely SVR_Luc, SVR_Ldc and SVR_Lw, are responsible for collecting data, utilizing SVR for prediction, and collaborating with master agents to attain high accuracy detection and prediction  ... 
doi:10.1016/j.neucom.2014.03.024 fatcat:iswslqvuk5hqzaoxghq4yo6hq4

Personalized fitting recommendation based on support vector regression

Weimin Li, Xunfeng Li, Mengke Yao, Jiulei Jiang, Qun Jin
2015 Human-Centric Computing and Information Sciences  
Collaborative filtering is one of the most successful techniques for its simplicity and efficiency, and it is a good complementary technology to the content-based filtering [2] [3] [4] [5] [6] [7] .  ...  Under Abstract Collaborative filtering (CF) is a popular method for the personalized recommendation.  ...  We use it to predict the missing rating, and the results show great stability over a period of time for the reason of the average rating of users and items.  ... 
doi:10.1186/s13673-015-0041-2 fatcat:zrpjhie5bnbzfhcq57wkr7twai

Applications of Multi-view Learning Approaches for Software Comprehension

Amir Saeidi, Jurriaan Hage, Ravi Khadka, Slinger Jansen
2019 The Art, Science, and Engineering of Programming  
Software systems comprise of data that are noisy and missing, which makes program understanding even more difficult.  ...  The multi-view approaches outlined in this paper can be employed for addressing problems in software engineering that can be encoded in terms of a learning problem, such as software bug prediction and  ...  Recommendation systems in software engineering RASCAL [ ] is a Collaborative Filtering based recommender system that tries to predict the next method a developer may use, based on the methods used in similar  ... 
doi:10.22152/programming-journal.org/2019/3/14 fatcat:5bw467krprefzdhw7nvu4ib3wm

Extended stellar systems in the solar neighborhood. IV. Meingast 1: the most massive stellar stream in the solar neighborhood [article]

S. Ratzenböck, S. Meingast, J. Alves, T. Möller, I. Bomze
2020 arXiv   pre-print
We use the variable prediction frequency resulting from the multitude of classifiers to estimate a stream membership criterion which we use to select high fidelity sources.  ...  We revisit the stream discovered in Meingast et al (2019) to search for new members, using Gaia DR2 data and a machine learning approach.  ...  Parameter tuning We make use of the libsvm (Chang and Lin 2011) OCSVM implementation which features two main hyper-parameters for the RBF-kernel 3 , γ and ν.  ... 
arXiv:2002.05728v1 fatcat:eetlng32gng4dbfrdrhagakgoe

Intelligent energy management

Seshadri Srinivasa Raghavan, Alireza Khaligh
2012 Proceedings of the Workshop on Performance Metrics for Intelligent Systems - PerMIS '12  
(e) Evaluate fitness values using design space co-ordinates for m=1,…, p.  ...  Auto-configuring RBF networks are used for predicting the wavelet coefficients of the future loads. Floating point GA (FPGA) is used for optimizing the RBF networks.  ... 
doi:10.1145/2393091.2393118 dblp:conf/permis/RaghavanK12 fatcat:6aldvjh2d5dhbksq47fp765l6q

Unattached fractions and aerosol attached of radon progeny in indoor air

Mohery, A
2012 International Journal of Physical Sciences  
intelligence, neural processing, nuclear and particle physics, geophysics, physics in medicine and biology, plasma physics, semiconductor science and technology, wireless and optical communications, materials  ...  and computer-aided materials design.  ...  ACKNOWLEDGEMENTS The research has been supported generously by the Heat Pipe and Thermal Tool Design Research Unit (HTDR), Faculty of Engineering, Mahasarakham University, Mahasarakham, Thailand.  ... 
doi:10.5897/ijps11.1360 fatcat:brggzy3aufczzkurjw5rtkyj4e

Big Data Value Chain: Multiple Perspectives for the Built Environment

Gema Hernández-Moral, Sofía Mulero-Palencia, Víctor Iván Serna-González, Carla Rodríguez-Alonso, Roberto Sanz-Jimeno, Vangelis Marinakis, Nikos Dimitropoulos, Zoi Mylona, Daniele Antonucci, Haris Doukas
2021 Energies  
In this context, the aim of this paper is to present a critical review and an in-detail definition of the big data value chain for the built environment in Europe, covering multiple needs and perspectives  ...  and energy-aware buildings.  ...  missing.  ... 
doi:10.3390/en14154624 fatcat:752aps7xfbb4zip2r3fzkuy7o4

Trust Computations and Trust Dynamics in Mobile Adhoc Networks: A Survey

Kannan Govindan, Prasant Mohapatra
2012 IEEE Communications Surveys and Tutorials  
In addition, we analyze various works on trust dynamics including trust propagation, prediction and aggregation algorithms, the influence of network dynamics on trust dynamics and the impact of trust on  ...  This prevents the direct application of techniques suited for other networks. In MANETs, an untrustworthy node can wreak considerable damage and adversely affect the quality and reliability of data.  ...  Prediction accu- racy for various noise covariance matrix is analyzed. Well established Kalman filter is used for prediction. The prediction accuracy is higher.  ... 
doi:10.1109/surv.2011.042711.00083 fatcat:yrzyvkaibvfalahka6mtiocjc4

Music Mood And Theme Classification - A Hybrid Approach

Kerstin Bischoff, Claudiu S. Firan, Raluca Paiu, Wolfgang Nejdl, Cyril Laurier, Mohamed Sordo
2009 Zenodo  
For the moods clustered according to Mirex, Russell/Thayer and themes manually clustered, the best values of α are 0.7, 0.8 and 0.9 respectively.  ...  [10] uses a variant of the AdaBoost algorithm, Filter-Boost, in order to predict social tags of the songs based on the information captured in the audio features.  ... 
doi:10.5281/zenodo.1417317 fatcat:pnh4uogd6rbhngzs7eenyknnhm
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