[PDF] Top 20 Data Cleaning: Approach for Earth Observation Image Information Mining
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Data Cleaning: Approach for Earth Observation Image Information Mining
... Result for Artifacts Detection in Actual Data These low performance may be because the strips are presented in the last bits are indexed not ...binary image containing strips, divided it into 64x64 ... Voir le document complet
5
Advanced Methods for high resolution SAR information extraction : data and user-driven evaluation approaches for Image Information Mining
... 1. Data-driven evaluation approach The very high resolution of SAR imagery is exploited at best with automatic information extraction methods that understand the image content and deal with ... Voir le document complet
218
An Approach for Integrating Earth Observation, Change Detection and Contextual Data for Semantic Search
... contextual data to describe im- ages, and then to propose a homogeneous representation of this heterogeneous ...proach for integrating heterogeneous data, including EO data, such as Sentinel ... Voir le document complet
5
CANDELA: A Cloud Platform for Copernicus Earth Observation Data Analytics
... a Data Base (DB). The Data Mining is operated in 2 ...EO Image Mining; the users via an interactive GUI operate a machine learning (ML) module which is using the actionable ...query ... Voir le document complet
5
Fast learning methods adapted to the user specificities: application to earth observation image information mining
... Like for mixture com- ponents for which we consider two disjoint sets, we force a "hard" separation between documents "explained" by known mixture components and those "explained" by ... Voir le document complet
227
Using Data Mining Methods to Predict Personally Identifiable Information in Emails
... this approach prevention. The advantage of this approach is that the privacy violations can be prevented before an email is sent ...private information but which may not be allowed in normal ... Voir le document complet
13
Data mining for structure type prediction
... structure types. It was determined if an alloy system was compound forming with 13.. calculations using DMQC, compared to 98 calculations required with random structure selection. sho[r] ... Voir le document complet
42
Mining biological information from 3D gene expression data : the OPTricluster algorithm
... One relevant application of OPTricluster is the identification of genes that may play the role of housekeeping. This is revealed by the study of similarities among the samples. Indeed, several of the genes with same ... Voir le document complet
37
A Prime Number Based Approach for Closed Frequent Itemset Mining in Big Data
... algorithms for mining CFI flag out good performance as far as dealing with small datasets or when the support threshold is ...the mining algorithms by running them in parallel [2, ...the ... Voir le document complet
9
Integrated Spatio-temporal Data for Earth Observation: A RDF dataset of Territorial Units with their Land Cover
... — Data materialization: Like in warehouse approaches, data sources are transformed into RDF graphs that are thereafter loaded into a triple store and accessed through a SPARQL 13 query ...the ... Voir le document complet
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PREDICAT: a semantic service-oriented platform for data interoperability and linking in earth observation and disaster prediction
... resulted data to end-users through this ...big data integration and give a decision- support for disaster ...multi-source data from the Big data layer, if they are inexistent in the ... Voir le document complet
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Assessment of fodder biomass in Senegalese rangelands using earth observation and field data
... proposed approach provided more reliable and accurate estimates as compared to the current CSE biomass ...new approach, timely information about possible deficits/surplus of total fodder biomass can ... Voir le document complet
164
FabSpace 2.0: Universities Fostering Open Innovation Enabled by Earth Observation and Geo-spatial Information
... funding for the development of downstream ...centres for their region aiming at improving their contribution to the socio- economic and environmental performance of the societies in which they ...satellite ... Voir le document complet
15
A stylometric approach for opinion mining
... stylometric approach for opinion mining This article tries to tackle the DEFT’15 opinion mining challenge using a stylometric ...to information (Task ...stylometric approach we ... Voir le document complet
5
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
... image. Recently, deep learning models for semantic segmentation have started to ...input image. A heat map is then obtained for each ... Voir le document complet
18
Integrated Spatio-temporal Data for Earth Observation: A RDF dataset of Territorial Units with their Land Cover
... collect Earth observation (EO) ...program data is open to the public and made available on the web through Data Integration and Analysis Systems ...The data accessible opens up many ... Voir le document complet
11
Towards a human eye behaviour model by applying Data Mining Techniques on Gaze Information for IEC
... 4. Experiments 4.1 Conditions First of all, we have previously presented that the main goal of our research is to combine an evolutionary algorithm with an eye-tracker with the aim that an end-user and a computer ... Voir le document complet
15
Mining aeronautical data by using visualized driven rules extraction approach
... Another data mining process is visual data mining ...of data thanks to interactive ...fined data. The user is directly involved in the data mining process ...VDM ... Voir le document complet
13
A Practical Data-Driven Framework for Parallel Data Mining
... libraries for MPI and ...support for cluster ...remote information just like they access local ones; addressing issues, communications, and network exceptions are all taken care of by JavaParty ... Voir le document complet
8
Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps
... investigated data fusion of var- ious sensors, they did not study the inclusion of highly processed, semantically richer data such as OpenStreetMap ...map data became widely avail- able and have been ... Voir le document complet
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