Multi-dimensional data modellingData warehousingOnline analytical processing (OLAPTourism knowledge destinationThe travel and tourism domain as a global competitive service business has a special need to understand the customer and market trends. Typically, available customer-based data is stored in data ...
Integration of Data Mining Results into Multi-dimensional Data Models Presentation This paper presents emerging trends in the area of temporal abstraction and data mining, as applied to multi-dimensional data. The clinical context is that... V Meyer,W Hpken,M Fuchs,... 被引量: 0发表: 2016年...
The richness of information contained in raster data is only limited by the number of captured bands and its resolution. To derive the full benefits by processing such data it has become of utmost importance to overhaul existing multi-dimensional approaches and consider the geospatial characteristic o...
A multi-model database (MMDB) is designed to support multiple data models against a single, integrated back-end. Examples of data models include document,
Our study identifies reference-free ‘absolute’ feature quantification as the root cause of irreproducibility in multi-omics measurement and data integration and establishes the advantages of ratio-based multi-omics profiling with common reference materials....
While multi-omics employs data from one domain (host or microbe), holo-omics integrates data from the host and the microbiome. For instance, to accurately model the health-associated outcomes of bacterial configuration, omics datasets covering several covariables from the host and microbial domains ...
Multi-dimensional interpolators High dimension model reduction (HDMR) Morse-Smale complex Model capabilities Data Post-Processing capabilities Data clustering Data regression Data dimensionality Reduction Custom generic post-processors Time-dependent data analysis (statistics, clustering and time warping metrics)...
Attempts to predict bankruptcy have involved the application of data mining techniques to credit card data. This is a difficult problem, since credit card data is multi-dimensional, consisting of monthly account records and daily transaction records. In this paper, we describe a two-stage approach...
Section 4 describes the proposed multi-dimensional relation model. Section 5 presents the evaluation results for VAI prediction. Lastly, conclusions are drawn in Section 6. 2. Related work 2.1. Dimensional sentiment resources The affective norms for English words (ANEW) is the first three-...
Existing approaches for multi-dimensional frequent patterns mining rely on the construction of data cube. Since the space of a data cube grows explosively as dimensionality or cardinality grows, it is too costly to materialize a full data cube, esp. when dimensionality or cardinality is large. In...