[PDF] Top 20 Distributed Data Analysis For Large-Scale Social Networks
Has 10000 "Distributed Data Analysis For Large-Scale Social Networks" found on our website. Below are the top 20 most common "Distributed Data Analysis For Large-Scale Social Networks".
Distributed Data Analysis For Large-Scale Social Networks
... algorithm: Analysis and implementation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, ...Image Analysis and ...onto distributed systems,” Scientific Programming, ... See full document
5
Providing Security to User Confidentiality Data in Large Scale Networks
... layer networks. We perform a restricted analysis based on the proposed model, and obtain three conclusions: The distribution for a given malware in terms of networks follows exponential distribution, ... See full document
5
Large-Scale Distributed Training Applied to Generative Adversarial Networks for Calorimeter Simulation
... training data, and then predict on unseen similar ...a data set so as to be able to generate new samples, that statistically resemble the original ...new data can be significantly faster, by several ... See full document
8
Social learning for resilient data fusion against data falsification attacks
... a distributed-sensing/distributed-processing scheme for sen- sor networks that uses social learning principles in order to deal with a topology-aware ...threshold-based data fusion ... See full document
25
Large-scale distributed L-BFGS
... parallelized distributed implementation of L-BFGS which works for training large-scale models with billions of ...source, data-intensive computing system platform originally developed by ... See full document
17
Link Gain Matrix Estimation in Distributed Large Scale Wireless Networks
... site-specific analysis, the relative frequencies of type l link gains over the node ensemble of size N(N − 1)/2 are known a priori, and are given by τ l , 0 ≤ l ≤ ... See full document
9
Distributed and Cooperative Link Scheduling for Large Scale Multihop Wireless Networks
... a distributed and cooperative power control (DCPC) algo- rithm such as in [7–9] is carried ...out data transmissions with the allo- cated power within a time slot in the time ...and data transmission ... See full document
9
Distributed Computing for Large-scale Graphs
... “Big Data” ...graph analysis algorithms and obtain data pipelines impossible in stand- alone graph ...get data, clean it, pre-process it, create a graph, run a graph algorithm and finally ... See full document
141
A Location-Adaptive Key Establishment Scheme for Large-Scale Distributed Wireless Sensor Networks
... Ashok Kumar Das is currently working as Assistant Profes- sor in the International Institute of Information Technology, Bhubaneswar 751 013, India. He has submitted Ph.D. Thesis in the Department of Computer Science and ... See full document
9
EEULA: AN ENERGY-AWARE EVENT-DRIVEN UNICAST ALGORITHM FOR WIRELESS SENSOR NETWORK BY LEARNING AUTOMATA
... for large scale wireless sensor networks, and reduces the communica- tion overhead and exploits data aggregation in sensor networks using a topology management approach; however, in the ... See full document
10
Dynamic Social Network Analysis with Heterogeneous Sensors in Ambient Environment
... the social sciences, research analyzing the topological structures of social networks has been actively performed for further understanding complex social phenomena that involve interactions ... See full document
10
Analyzing Social Media Data in Educational Sectors Using Data Mining Techniques
... institutional data mining is focused on analyzing structured data taken from program management systems, classroom teaching aids usage, or controlled online studying environments to inform educational ... See full document
5
An Automated Approach to Requirement Elicitation Using Stakeholder Recommendation and Prediction Analysis
... Our project proposes an open and inclusive method for requirements elicitation using social networks and collaborative filtering. An inherent feature in existing requirements elicitation methods is that ... See full document
5
Statistical inference from large scale genomic data
... regulatory networks, the ultimate goal of this type of ...expression data is proposed to obtain tighter and potentially more informative gene ...genomic data, integrated with previous efforts in this ... See full document
206
Design and analysis of a general data evaluation system based on social networks
... Although the BP neural network application is already very mature itself, it still has a lot of defects. Because the BP algorithm in essence used the gradient descent method, and it is used to optimize the objective ... See full document
10
Data Accessibility for Resource Selection in Large-Scale Distributed Systems
... in large distributed ...wide-area networks, which rule out static a priori measurement, and the cost of on-demand information gathering, which rules out active ...historical data access ... See full document
13
User Behavior to Identify Malicious Activities in Large Scale Social Networks
... historical data for certain users by keeping tabs on their activities over a given period of the time [3], [14], [22], ...online social network can be ...use data and machine-learning methods to find ... See full document
5
Uncovering complex overlapping pattern of communities in large-scale social networks
... the analysis of two huge online social networks with ...the data in detail and explain why the communities can still remain well separated from each ...the social network structure by ... See full document
16
A Perspective Analysis of Hidden Community Mining Methods in Large Scale Social Networks
... in social network analysis has increased in recent ...the social networking sites, many researchers concentrate on this area for ...the social networks in different ...on social ... See full document
6
Distributed Generation Effects on Large Scale Distribution Networks
... 4) Voltage Variation Constraint: A critical considera- tion concerning the interconnection of DG sources to the grid is their effect on the slow voltage variations. There- fore the utility operators should impose certain ... See full document
8
Related subjects