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About 10,000 papers for “multidimensional data”

Multidimensional Data Visualization

Josip Blažević · Repository of FERIT Osijek · 2021

Navedene su i opisane postojeće aplikacije za prikaz višedimenzionalnih podataka. Detaljno su objašnjeni alati, biblioteke i vrste prikaza višedimenzionalnih podataka. Za izradu grafova unutar aplikacije, korišten je Recharts alat opće namjene zbog svoje lake integracije sa React bibliotekom za izradu internetskih stranica. Uz React su od biblioteka odabrane TypeScript za dodavanje tipova podataka, Material-UI za izradu dizajna aplikacije i React Hook Form za upravljanje formama, kao alati koji olakšavaju implementaciju internetske stranice. Izrađen je sustav pomoću kojega se mogu prikazati linijski i stupčasti grafovi, pomoću podataka dobivenih uz dohvaćanje podataka iz statičke baze podataka ili API-ja. Korisnik odabire tip grafa na kojemu želi imati prikazane podatke te odabire podatke koje želi da se prikažu. Poruke pogreške se prikazuju unutar aplikacije u slučaju da unos podataka nije valjan.

Cited by 0Open access

Multidimensional Handwriting Data

Zebin Wang · Zenodo (CERN European Organization for Nuclear Research) · 2026

The dataset contains multidimensional handwriting data (3D velocity, grip force, pressure, EMG signals) collected during a handwriting task (6 subjects, 7sessions). Each subject wrote the same set of 190 Chinese characters. These multidimensional handwriting data were used to establish a mapping to the neural signals recorded from a paralyzed subject during imagined writing of the same characters. Each file includes: - 3D velocity, grip force, pressure and EMG signals during handwriting - Chinese characters used in the handwriting task (target_charac) - index for strokes and pen lifts (break_ind) - trial order (trial_target) - character of each trial (trial_mask)

Cited by 0Open access

Multidimensional data visualization

Matthew J. Pastizzo, Robert F. Erbacher, Laurie Beth Feldman · Behavior Research Methods, Instruments, & Computers · 2002

Cited by 36Open access

Reducing Multidimensional Data

Faten Atigui, Franck Ravat, Jiefu Song et al. · Toulouse Capitole Publications (University Toulouse 1 Capitole) · 2014

Our aim is to elaborate a multidimensional database reduction process which will specify aggregated schema applicable over a period of time as well as retains useful data for decision support. Firstly, we describe a multi-dimensional database schema composed of a set of states. Each state is defined as a star schema composed of one fact and its related dimensions. Each reduced state is defined through reduction operators. Secondly, we describe our experi-ments and discuss their results. Evaluating our solution implies executing different requests in various contexts: unreduced single fact table, unreduced re-lational star schema, reduced star schema or reduced snowflake schema. We show that queries are more efficiently calculated within a reduced star schema.

Cited by 0Open access

Indexing multidimensional data

Ravi Kothuri, Ambuj K. Singh · Medical Entomology and Zoology · 1998

Multidimensional index structures enable searching in spatial, image, text, audio, and video databases. Current multidimensional index structures do not scale with database size, data dimensionality, and the number of concurrent users operating on them. In this thesis, we first propose new techniques for fast searching in low-dimensional databases, such as spatial and geographic information systems, and in high-dimensional databases, such as image, audio, video and text documents. We then examine the time complexity of searching in such multidimensional databases and propose optimal index structures. We also explore other alternatives such as parallel processing to improve query performance. These techniques concentrate only on the performance of individual query or update operations. In the final portion of the thesis, we develop new concurrency control protocols to achieve high throughput in the presence of multiple users. Together, these techniques achieve scalability with the number of users, the database size, and the data dimensionality.

Cited by 1

Multidimensional Handwriting Data

Zebin Wang · Zenodo (CERN European Organization for Nuclear Research) · 2026

The dataset contains multidimensional handwriting data (3D velocity, grip force, pressure, EMG signals) collected during a handwriting task (6 subjects, 7sessions). Each subject wrote the same set of 190 Chinese characters. These multidimensional handwriting data were used to establish a mapping to the neural signals recorded from a paralyzed subject during imagined writing of the same characters. Each file includes: - 3D velocity, grip force, pressure and EMG signals during handwriting - Chinese characters used in the handwriting task (target_charac) - index for strokes and pen lifts (break_ind) - trial order (trial_target) - character of each trial (trial_mask)

Cited by 0Open access

Multidimensional data of accidents.

Jingyi Qin (495126), Jun Zhang (48506), Shuyao Wu (1841281) et al. · Figshare · 2025

<div> Faced with the complex and diversified disturbances of abnormal events in high-speed railway, studying the characteristics of delay scenario parameters and related propagation influence laws plays a fundamental role in analyzing the applicability of operation plans, formulating train operation adjustments, and evaluating the operation decision plans, as well as providing practical data support for the establishment of theoretical models. Based on the mechanical analysis of the primary and knock-on delays, this paper combines the daily safety information data and timetable data, and takes into account the modified primary delays upon speed loss, by taking the high-speed railway network in the Yangtze River Delta region as an example. On this basis, this paper further studies the statistical distribution of primary delay duration, event location distribution, emergent measures distribution, occurrence time and event cause distribution, and other characteristics. Based on this research, the distribution characteristics of the influenced train number and the cumulative delay under kinds of disturbances have been discussed, where the effects of running redundancy, propagation rate, and related parameters on delay propagation have got quantitative analysis. Research shows that the number of abnormal event samples distributed in the sections is 1.53 times that of stations. Based on the Fuzzy C-Means clustering results, abnormal events in the section are more likely to propagate than abnormal events at stations. For trains experiencing primary delay, the relationship between the maximum cumulative train delay and primary delay mostly obey a power-law distribution and the values of R<sup>2</sup> are all greater than 0.65, indicating a high correlation at the theoretical level. </div>

Cited by 0Open access

SQL and Multidimensional Data

Mihaela Muntean · RePEc: Research Papers in Economics · 2006

Using SQL you can manipulate multidimensional data and extract that data into a relational table. There are many PL/SQL packages that you can use directly in SQL*Plus or indirectly in Analytic Workspace Manager and OLAP Worksheet. In this article I discussed about some methods that you can use for manipulating and extracting multidimensional data.

Cited by 0Open access

Multidimensional Food Security Data

Dereje, Desta, Tilahun, Temesgen, Yirgu, Teshome · Figshare · 2024

Multidimensional Food Security Data: consists of 24 generic household survey question results based on 4 weeks recall recall period.

Cited by 0Open access

Multidimensional Food Security Data

Dereje, Desta, Tilahun, Temesgen, Yirgu, Teshome · Figshare · 2024

Multidimensional Food Security Data: consists of 24 generic household survey question results based on 4 weeks recall recall period.

Cited by 0Open access

Multidimensional optical data storage

Gu, Min · Swinburne Research Bank (Swinburne University of Technology) · 2005

The concept of optical data storage is based on the use of a laser beam that is focused onto a recording material to produce a spot where physical or chemical properties of the material are changed. The first generation of the optical data storage devices is the two-dimensional (2-D) devices such as compact disks (CDs) and single layer digital video disc (DVDs) with a 2-D storage density of up to 0.8 Gbits/cm2 for a visible laser beam. The idea of using the third spatial dimension has led to the generation of multi-layered DVDs with capacity of up to 100 Gigabytes per disk.

Cited by 0Open access

Multidimensional Data Model ER(

Sheng Li · 2005

ER(■) defines members as Abstract category on dimensional domain. The relations between members are determined by the Abstract ability of category. Levels are collection of members. Relationships of levels are consistent to the relations of their members. ER(■) uses Object Exchange Model to represent the partial order in members and levels, path expression as query language. Thus, dimension is considered as a semi-structure object and used as the domain of relation data model. ER(■) also gives a set of integrity rules. ER(■) expends relation model and relation algebra and uses object oriented and relation model to present multidimensional data. ER(■) can be implemented easily on main stream relation-object data base systems and applied to XML environment.

Cited by 3

9. Multidimensional Data Analysis

Masaya Iizuka, Yuichi Mori, Tomoyuki Tarumi et al. · Journal of the Japanese Society of Computational Statistics · 2003

Many criteria and procedures to select a reasonable subset of variables in the context of principal component analysis have been derived, but there still exist problems to determine how many variables should be selected as well as to evaluate the performance of the selection methods. To deal with these problems, two computer intensive methods are performed: a bootstrap method which is applied to the given subsets of variables and a cross validation method which is modified for principal component analysis. The results in some numerical examples offer information and some guidance to determine the number of variables to be selected.

Cited by 20Open access

Multidimensional Open Government Data

Efthimios Tambouris · JeDEM - eJournal of eDemocracy and Open Government · 2016

A large number of open government data concerns official and unofficial statistics. These data can be represented as multidimensional data. In this paper, we commence by presenting data fragmentation, an important challenge when exploiting open data. We thereafter introduce multidimensional data as a possible solution to overcome data fragmentation. More specifically, we outline the data cube model and linked open data technologies. In addition, we present a process for multidimensional linked open data publication and reuse. We also present a number of software tools that have been developed to manage multidimensional linked open data. We finally summarize the benefits and some of the main barriers.

Cited by 7Open access