[PDF] Top 20 Partial orders and logical concept analysis to explore patterns extracted by data mining
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Partial orders and logical concept analysis to explore patterns extracted by data mining
... Abstract. Data mining techniques are used in order to discover emerg- ing knowledge (patterns) in ...resulting patterns for a user to explore them all by ...try ... Voir le document complet
15
Relational Data Exploration by Relational Concept Analysis
... difficulty to appre- hend the ...Engineering, data extracted from models of medium size have been easily handled by ...of data mining the data are of a different ...small ... Voir le document complet
5
Handling Spatial Relations in Logical Concept Analysis To Explore Geographical Data
... Contrary to PCF, Relational Concept Analysis (RCA) and LCA enables to describe objects and their relations to each other in the same context, and so in the same ... Voir le document complet
17
Mining Unexpected Sequential Patterns and Rules
... Introduction To date, for the requirements of modern applications (marketing development, bioinformatics, Internet navigation analysis, ...more and more data have been stored in the form of ... Voir le document complet
15
Visual data mining from visualization to visual information mining
... representing data or subsets of data. The object is chosen in order to facilitate both the visualization and the data mining ...efficient by the use of virtual reality ... Voir le document complet
16
Diagnosis of Machining Conditions Based on Logical Analysis of Data
... belongs to a known ...tool, and a fresh ...covariates and a ...), and the cutting force ( ...), and the feed rate ( ...learning and testing, worn patterns, which represent ... Voir le document complet
181
Equilibrium Data Mining and Data Abundance
... the data frontier, θ when φ(θ) = 3 cos(θ) sin 2 (θ) and α = min{1, ...opposite patterns for all stocks, except for large growth ...alternative data (satellite images and consumer ... Voir le document complet
49
Multi-Criteria Inventory Classification and Root Cause Analysis Based on Logical Analysis of Data
... is to build a model for predicting the class of unknown observations as accurately as possible by providing a set of labelled datasets, which establishes the purpose of our ...try to solve two-class ... Voir le document complet
93
A Data Mining Analysis Applied to a Straightening Process Database
... is to produce a tree, as simple as possible, providing a maximum amount of information about the classification variable of the learning ...structure and tests and tree pruning which aims at ... Voir le document complet
7
A Data Mining Analysis Applied to a Straightening Process Database
... divided by length’, ‘distance between stiffeners’, ‘steel grade’, ‘special flag and double bottom flag’), a hidden layer of 5 nodes and 1 output parameter (‘straightening cost’); The left side of ... Voir le document complet
11
Large-scale data classification and longitudinal data mining for survival analysis
... % GSRWMHIVEFPI RYQFIV SJ WYVZMZEP QSHIPW LEZI PSRK FIIR HIZIPSTIH TVMQEVMP] JSV XMQIXSIZIRX TVIHMGXMSR 8LI XLVII QSWX TVSQMRIRX ETTVSEGLIW TVSTSWIH MR XLI WXE XMWXMGEP PMXIVEXYVI MRG[r] ... Voir le document complet
220
Exploring Big Data Environment for Conversation Data Analysis and Mining on Microblogs
... respond to other tweets by using the ”@username” as a marker of ...related to the conversation even though they are not directly linked with other ...method to build conversation ...formed ... Voir le document complet
10
Unveiling Crucivirus Diversity by Mining Metagenomic Data
... predicted to have a single jelly-roll (SJR) architecture, based on its homology to tombusvirus capsid pro- teins, for which three-dimensional (3D) structures have been determined ...RNA and DNA ... Voir le document complet
17
Analysis of publicly available data to explore the role of assist in the NBA
... At the same time, Figure 9 shows that the offensive rating of the Mavericks was relatively high during their championship run from 2005 to 2010, also comparable to that of the H[r] ... Voir le document complet
99
Data Mining: Understanding Data and Disease Modeling
... The data characteristics checking algorithm identifies anomalies based on: (i) the number of dependencies selected (0-3), (ii) preferred tolerance, and (iii) the order of attributes (time-series or ...the ... Voir le document complet
8
Detection and analysis of oscillatory patterns in multisensor data by time-frequency hidden Markov models: an application to EEG
... correspond to rel- evant scalp locations for observing alpha ...computed, and the model parameters (for a two-state model: alpha and non alpha states) were estimated using the above ...succeeds ... Voir le document complet
11
Data stream management and mining
... ), and Aurora-Medusa-Borealis ( [12] ...scratch and has introduced many new concepts and solutions related to the management of data ...language to handle continuous queries with ... Voir le document complet
15
Mining Safety Signals in Spontaneous Report Database using Concept Analysis
... patients to the haart therapy in order to adapt the overall anti-hiv ...responses to haart with no increased risk of metabolic disorders or other ... Voir le document complet
11
Biodiversity and Environment Data Mining
... 4 Data Mining for Biodiversity 4.1 Data Mining Concept Data mining, also known as knowledge discovery from data (KDD), is a set of concepts, methods and ... Voir le document complet
21
Applicability and Interpretability of Logical Analysis of Data in Condition Based Maintenance
... time-domain and wavelet features. As a result, we will end up with two data sets, one composed of the 12 wavelet features and one composed of the total of 18 ...The data sets obtained from the ... Voir le document complet
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