IEEE Trans Vis Comput Graph - Hierarchical Reorganization of Dimensions in OLAP Visualizations.

Tópicos

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{ design(1359) user(1324) use(1319) }
{ care(1570) inform(1187) nurs(1089) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ general(901) number(790) one(736) }
{ howev(809) still(633) remain(590) }
{ featur(3375) classif(2383) classifi(1994) }
{ research(1085) discuss(1038) issu(1018) }
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{ studi(1119) effect(1106) posit(819) }
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{ record(1888) medic(1808) patient(1693) }
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{ ehr(2073) health(1662) electron(1139) }
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{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ cost(1906) reduc(1198) effect(832) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ data(3008) multipl(1320) sourc(1022) }
{ intervent(3218) particip(2042) group(1664) }
{ time(1939) patient(1703) rate(768) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
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{ structur(1116) can(940) graph(676) }
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{ use(976) code(926) identifi(902) }
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{ survey(1388) particip(1329) question(1065) }
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{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

In this paper, we propose a new method for the visual reorganization of OLAP cubes that aims at improving their visualization. The proposed algorithm addresses dimensions with hierarchically organized members. It uses a genetic algorithm that reorganizes k-ary trees. Genetic operators perform permutations of subtrees to optimize a visual homogeneity function. We propose several ways to reorganize an OLAP cube depending on which set of members is selected for the reorganization: all of the members, only the displayed members, or the members at a given level (level by level approach). The results that are evaluated by using optimization criteria show that our algorithm has a reliable performance even when it is limited to 1 minute runs. Our algorithm has been integrated in an interactive 3D interface for OLAP. A user study has been conducted to evaluate our approach with users. The results highlight the usefulness of reorganization in two OLAP tasks.

Resumo Limpo

paper propos new method visual reorgan olap cube aim improv visual propos algorithm address dimens hierarch organ member use genet algorithm reorgan kari tree genet oper perform permut subtre optim visual homogen function propos sever way reorgan olap cube depend set member select reorgan member display member member given level level level approach result evalu use optim criteria show algorithm reliabl perform even limit minut run algorithm integr interact d interfac olap user studi conduct evalu approach user result highlight use reorgan two olap task

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