[PDF] Top 20 Visualization and machine learning techniques to support web traffic analysis
Has 10000 "Visualization and machine learning techniques to support web traffic analysis" found on our website. Below are the top 20 most common "Visualization and machine learning techniques to support web traffic analysis".
Visualization and machine learning techniques to support web traffic analysis
... impossible to get knowledge looking directly at raw data, so it must be presented in a way that is easy to understand and ...options to visualize data; specifically, for web analytics, ... See full document
110
TítuloGVLiDAR: an interactive web based visualization framework to support geospatial measures on lidar data
... a web framework specially designed to accomplish detailed analysis and complex measurements over LiDAR 3D point ...users to retrieve data on demand from queries based on spatial ... See full document
22
Machine Learning Techniques for Undertaking Roundabouts in Autonomous Driving
... a machine-learning approach was used to build a predictive model to estimate the vehicle speed and steering angle, and to subsequently generate rules of action to ... See full document
17
A Method and Tool to Support the Analysis and Enhance the Understanding of Peer to Peer Learning Experiences
... a web-based social software can be used to make qualitative data analysis of online peer-to-peer learning ...propose to use Cohere, a web-based social sense-making tool, ... See full document
14
Automated Analysis of Source Code Patches using Machine Learning Algorithms
... automated analysis of source code patches and branch differences is ...of machine learning techniques on source code, comments, and ...aims to help analysts, code ... See full document
9
Machine Learning and Knowledge Management for Decision Support. Applications in Promotional Efficiency and Healthcare
... used to deal with missing data, though other imputation strategies will likely yield more accurate ...methods to deal with observations at non-uniform time points have been grouped in three different ... See full document
159
Novel applications of Machine Learning to Network Traffic Analysis and Prediction
... related to the creation of semi-synthetic data for intrusion detection: In [122] the authors propose a modular synthetic dataset generation framework for web applications, together with a monitoring ... See full document
183
Anomalous vehicular traffic detection through spectral techniques and semi&un supervised learning models
... life and placing new, intense pressures on city resources and ...problems and the introduction of new ones in the ...air and noise pollution, trip times for drivers, energy con- sumption, ... See full document
99
Design and Development of a Personality Traits Classifier based on Machine Learning Techniques
... functionalities to extract the subtitle itself from both formats, the main difference is presented when parsing WebVTT because it is necessary to use an HTML ...predictions and output the ...ontology ... See full document
68
Identificación de personas por su forma de andar usando sensores inerciales
... reemplazamien- to con el mismo número de elementos que el conjunto original de elementos, se obtienen B muestras bootstrap (cada una del mismo tamaño que el conjunto de entrenamiento ... See full document
89
App reviews analysis with machine learning
... 13 and have the headings ’ID’, ’Label’ and ...’0’ and ’1’ referring to the classification of ”Negative” and ”Positive” that the algorithm gave to this particular review in the ... See full document
20
Predicting underground tunnel hazards using machine learning techniques
... associated to their ...need to develop new methods that probabilistically estimate the likely occurrence (or not) of the rock burst and squeezing problems discussed ...herein. And, similarly, ... See full document
184
TítuloNovel methods in distributed machine learning for large datasets
... essential to employ low complexity algorithms due to time and memory ...analytically and, on the other hand, there are able to learn in an incremental ...A and b, solving the new ... See full document
211
An approach to the measurement of intangible assets in dot com
... necessary to describe a company, what variables are associated with this characteristic, and up to what point a particular variable contributes to the explanation of the characteristic, are ... See full document
32
Machine learning applied to threat intelligence
... de Machine Learning puede ser de gran ayuda para las amenazas a la seguridad que han ido en aumento a pasos agigantados en los últimos años, pues permite detectar comportamientos sospechosos ... See full document
67
TítuloImproving detection of apneic events by learning from examples and treatment of missing data
... used to predict membership of cases or objects in the classes of a categorical dependent variable from their measurements on one or more predictor ...labels and branches represent conjunctions of features ... See full document
11
Geometry and topology extraction and visualization from scalar and vector fields
... converted to a set of Z-ordered images (representing the scalar 3D field), some extra steps have to be done to be successfully loaded by the volumetric ray casting ...similar to the common ... See full document
172
2019 UNIMAR Curso Segmentacion imagenes pdf
... - Time-varying, complex data analysis, - Formal methods for machine learning, - Intelligent sensor network design,.. - Low-computational cost approaches for data analysis, - and data vis[r] ... See full document
128
Identification of Pronunciation Errors in L2 English Speech by Spanish Speaking Natives for S Impure Sounds
... humans to interact with each other, sharing ideas, thoughts, and emotions ...need to learn a second language to trade and exchange technology and ...world, learning a ... See full document
77
Considering adaptation in the development of context-aware systems for tele-rehabilitation
... AmI and MAS arises in this context, since agents provide an effective way to develop AmI systems as they are reactive, proactive and exhibit an intelligent and autonomous behavior ... See full document
287
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