Filters








1,458,204 Hits in 6.5 sec

Accurate estimates without local data?

Tim Menzies, Steve Williams, Oussama Elrawas, Daniel Baker, Barry Boehm, Jairus Hihn, Karen Lum, Ray Madachy
2009 Software Process: Improvement and Practice  
Such models can be used for the purposes of decision making without elaborate, tedious, and time-consuming data collection from the local domain.  ...  We show empirically that, for the USC COCOMO family of models, the effects of P dominate the effects of T i.e. the output variance of these models can be controlled without using local data to constrain  ...  Otherwise, AI search methods like SEESAW can be used to reuse models from other sites without requiring local data.  ... 
doi:10.1002/spip.414 fatcat:om25f7lfmfhehacoxmtulwkz6u

Privacy Preserving Data Mining [chapter]

2016 Data Privacy  
While it is not possible to accurately estimate original values in individual data records, we propose a-novel reconstruction procedure to accurately estimate the distribution of original data values.  ...  Since the primary task in data mining is the development of models about aggregated data, can we develop accurate models without access to precise information in individual data records?  ...  Since the primary task in data mining is the development of models about aggregated data, can we develop accurate models without access to precise information in individual data records?  ... 
doi:10.1201/9781315370910-6 fatcat:zjvrg2fp7bfajeeyboei2wkctm

Low-Dimensional Data Representation in Data Analysis [chapter]

Alexander Bernstein, Alexander Kuleshov
2014 Lecture Notes in Computer Science  
Bundle Manifold Learning) motivated by various Data Analysis tasks.  ...  Many Data Analysis tasks deal with data which are presented in high-dimensional spaces, and the 'curse of dimensionality' phenomena is often an obstacle to the use of many methods, including Neural Network  ...  Data Manifold X covered by a single chart, estimate X by data-based q-dimensional manifold also covered (parameterized) by a single chart.  ... 
doi:10.1007/978-3-319-11656-3_5 fatcat:r4yrlvafijblxbz3xy2yxsmrju

Search for periodicities in experimental data using an autoregression data model [article]

B.Z. Belashev, M.K. Suleymanov
2001 arXiv   pre-print
To show the potentials of the methods, experimental and simulated hummed data are discussed as an example.  ...  To process data obtained during interference experiments in high-energy physics, methods of spectral analysis are employed.  ...  ARDM of a random process postulates a local data connection: the current value of the function y(l), which approximates the process studied, is estimated from the previous data counts x(l − k) in the form  ... 
arXiv:hep-ex/0110035v1 fatcat:vjwjbbrhrjfwbautlbx7tyge4i

Novel data assimilation algorithm for nearshore bathymetry

Hojat Ghorbanidehno, Jonghyun Lee, Matthew Farthing, Tyler Hesser, Peter K. Kitanidis, Eric F. Darve
2019 Journal of Atmospheric and Oceanic Technology  
Our results indicate that the CSKF method is more accurate and robust than the ensemble-based methods with the same computational cost.  ...  It can be expensive and difficult to collect direct bathymetry data for nearshore regions, especially in highenergy locations where there are temporally and spatially varying bathymetric features like  ...  Both methods provide accurate estimates after the first data assimilation step.  ... 
doi:10.1175/jtech-d-18-0067.1 fatcat:hndyx3f3ivfyxh5jsyz45grrde

Privacy-Preserving Data Mining Systems

Nan Zhang, Wei Zhao
2007 Computer  
without violating the data owners' privacy. 1 How to mine patients' private data, for example, is an ongoing problem in healthcare applications.  ...  Already companies are sharing data mining models to obtain a richer set of data about mutual customers and their buying habits.  ...  The system then sends the estimated useful attributes to data providers as guidance. Our work shows that this guidance-based scheme is more effective than approaches without such guidance.  ... 
doi:10.1109/mc.2007.142 fatcat:e7i6w7b3jvbmjafzssowxklzyq

Privacy-preserving data mining

Rakesh Agrawal, Ramakrishnan Srikant
2000 SIGMOD record  
While it is not possible to accurately estimate original values in individual data records, we propose a-novel reconstruction procedure to accurately estimate the distribution of original data values.  ...  Since the primary task in data mining is the development of models about aggregated data, can we develop accurate models without access to precise information in individual data records?  ...  Since the primary task in data mining is the development of models about aggregated data, can we develop accurate models without access to precise information in individual data records?  ... 
doi:10.1145/335191.335438 fatcat:pph64ggogjbndlnlovv663j4w4

Privacy-Preserving Data Mining [chapter]

2011 Data Mining and Machine Learning in Cybersecurity  
While it is not possible to accurately estimate original values in individual data records, we propose a-novel reconstruction procedure to accurately estimate the distribution of original data values.  ...  Since the primary task in data mining is the development of models about aggregated data, can we develop accurate models without access to precise information in individual data records?  ...  Since the primary task in data mining is the development of models about aggregated data, can we develop accurate models without access to precise information in individual data records?  ... 
doi:10.1201/b10867-9 fatcat:5vn57jhdkrfehdxppu5n72co6y

Data Mining for Big Data

Rashmi Reddy M, Kavitha Juliet
2017 IJARCCE  
With Big data technologies, we will hopefully be able to provide most relevant and most accurate social sensing feedback to better understand our society at real time.  ...  unleash the full power of the Big Data.  ...  Estimation: Estimation deals with continuously valued outcomes.  ... 
doi:10.17148/ijarcce.2017.63230 fatcat:ofmc2nd7yzh43dhfov7jmkiy3i

Data management for structural integrity assessment of offshore wind turbine support structures: data cleansing and missing data imputation

Maria Martinez-Luengo, Mahmood Shafiee, Athanasios Kolios
2019 Ocean Engineering  
Structural Health Monitoring (SHM) and Condition Monitoring (CM) Systems are currently utilised to collect data from ofshore wind turbines (OWTs), to enhance the accurate estimation of their operational  ...  fatigue is estimated for the results of these two methodologies (Step 4).  ...  Finally, fatigue is estimated for four diferent scenarios: without cleansing/without MDI, without cleansing/ with MDI, with cleansing/without MDI and with cleansing/with MDI.  ... 
doi:10.1016/j.oceaneng.2019.01.003 fatcat:jkt6c7expbf4xl5iee4uyez34q

MISSING DATA TREATMENT AND DATA FUSION TOWARD TRAVEL TIME ESTIMATION FOR ATIS

Yuh-Horng WEN, Tsu-Tian LEE, Hsun-Jung CHO
2005 Journal of the Eastern Asia Society for Transportation Studies  
This study develops a travel time estimation process by integrating a missing data treatment and data-fusion-based approaches.  ...  Study results showed that the grey-theory-based missing data treatment models were accurate for recovering missing values.  ...  Other approaches have included local speed-based estimation process to yield accurate link travel time estimates from point data (Coifman, 2002; Oh et al., 2002; Lint and Zijpp, 2003) .  ... 
doi:10.11175/easts.6.2546 fatcat:oghxvmk2cvg2nogvkk6pmu53d4

Fading Channels Parametric Data Simulation Supported by Real Data from Outdoor Experiments

Azra Kapetanovic, Mohamed A. Zohdy, Redhwan Mawari
2017 Journal of Signal and Information Processing  
Based on the indoor experiments, we presented new results in [2], where we concluded that the second-order KF-based estimator is more accurate in predicting local shadow power profiles than the first-order  ...  We first created simulation models for two KF-based estimators designed to estimate local mean (shadow) power in mobile communications corrupted by multipath noise.  ...  to estimate the local mean shadow power.  ... 
doi:10.4236/jsip.2017.83008 fatcat:w2s232easndanogelbnfrasisu

Data Mining Applications in Big Data

Lidong Wang, Guanghui Wang
2015 Computer Engineering and Applications Journal  
This paper introduces methods in data mining and technologies in Big Data. Challenges of data mining and data mining with big data are discussed.  ...  Some technology progress of data mining and data mining with big data are also presented.  ...  By using data stream diagnosis for prognosis and spell detection, physicians could make faster and more accurate decisions.  ... 
doi:10.18495/comengapp.v4i3.155 fatcat:w5gqffk5u5aahld5gzp354d6wu

Data-driven appointment scheduling

Dieter Fiems
2019 Proceedings of the 12th EAI International Conference on Performance Evaluation Methodologies and Tools - VALUETOOLS 2019  
Methods for lowering the computational cost of obtaining accurate predictions is the main thread of this talk.  ...  Unfortunately, in realistic scenarios, patients are neither statistically identical (in many scenarios, the consultation times of particular patients can be estimated based on the lengths of prior consultations  ...  Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage  ... 
doi:10.1145/3306309.3306311 dblp:conf/valuetools/Fiems19 fatcat:mqqqblobpffhlc6225bqbykxsi

Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation [article]

Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Jason A. Platt, Hsin-Yi Lin, Michael Goodliff, Henry D.I. Abarbanel
2021 arXiv   pre-print
Data assimilation (DA) is integrated with machine learning in order to perform entirely data-driven online state estimation.  ...  Further, it is demonstrated how these integrated RNN-DA methods can scale to higher dimensions by applying domain localization and parallelization, providing a path for practical applications in NWP.  ...  When observing the full system state, noisy observations supplied as driving data to the RNN simply increase high frequency noise in the analyzed state estimate, without resulting in divergence between  ... 
arXiv:2109.12269v1 fatcat:vueqt5ufkvckdfzoi52iqtkhq4
« Previous Showing results 1 — 15 out of 1,458,204 results