CAJ | 학술논문

大型智能数据库的幂级检索优化设计是提高数据库访问和数据挖掘性能的关键,由于多源特征分层数据库所覆盖的对象集具有不定分区性,导致数据检索精度不高.提出一种采用频域波束分级聚焦的多源数据库幂级检索算法.多源特征分层数据库的数据结构形式,进行数据集信息模型构建,对信息模型改进型频域波束分级聚焦算法设计,实现数据库的幂级检索算法改进,提高数据挖掘性能,仿真实验表明,采用该算法进行多源分层特征数据库检索,数据信息在频域聚焦特征较为明显,数据挖掘精度较高,具有优越性能.
대형지능수거고적멱급검색우화설계시제고수거고방문화수거알굴성능적관건,유우다원특정분층수거고소복개적대상집구유불정분구성,도치수거검색정도불고.제출일충채용빈역파속분급취초적다원수거고멱급검색산법.다원특정분층수거고적수거결구형식,진행수거집신식모형구건,대신식모형개진형빈역파속분급취초산법설계,실현수거고적멱급검색산법개진,제고수거알굴성능,방진실험표명,채용해산법진행다원분층특정수거고검색,수거신식재빈역취초특정교위명현,수거알굴정도교고,구유우월성능.
Power level large-scale intelligent database retrieval optimization design is the key to improve the performance of database access and data mining, the multi-source feature of hierarchical database covered object set with indefinite par-tition, resulting in data retrieval accuracy is not high. Put forward a kind of classification using frequency domain beam fo-cusing power level multi-source database retrieval algorithm. Data structure in the form of multi-source feature a hierarchi-cal database, to construct information data model, the improved design of beam focusing algorithm for classification in fre-quency domain information model, realize the power level database search algorithm is improved, to improve the perfor-mance of data mining, the simulation experiment shows that, by using this algorithm for multivariate hierarchical feature da-tabase retrieval, data information is obvious in the frequency domain focus the characteristics of high precision, data min-ing, has superior performance.