现代情报
現代情報
현대정보
Journal of Modern Information
2014年
4期
58~61
,共null页
产业集群 协同创新服务平台 数据挖掘 推荐系统
產業集群 協同創新服務平檯 數據挖掘 推薦繫統
산업집군 협동창신복무평태 수거알굴 추천계통
industrial clusters; collaborative innovation service platform; data mining; recommended system
针对产业集群特点,面向数据检索要求,对数据挖掘推荐系统需求进行分析,研究数据挖掘推荐系统相关技术和算法,设计系统功能模块架构.研究分析处理流程,构建数据挖掘推荐系统,实现产业集群信息的智能化挖掘推荐服务。产业集群数据挖掘推荐系统具有用户需求信息挖掘推荐、相关服务信息挖掘、潜在协作伙伴挖掘推荐及科技成果动态感知等功能,能为用户推送更多有价值的信息,便于用户发现协作伙伴和潜在客户.促进产业集群和集群企业的协同创新发展。
針對產業集群特點,麵嚮數據檢索要求,對數據挖掘推薦繫統需求進行分析,研究數據挖掘推薦繫統相關技術和算法,設計繫統功能模塊架構.研究分析處理流程,構建數據挖掘推薦繫統,實現產業集群信息的智能化挖掘推薦服務。產業集群數據挖掘推薦繫統具有用戶需求信息挖掘推薦、相關服務信息挖掘、潛在協作夥伴挖掘推薦及科技成果動態感知等功能,能為用戶推送更多有價值的信息,便于用戶髮現協作夥伴和潛在客戶.促進產業集群和集群企業的協同創新髮展。
침대산업집군특점,면향수거검색요구,대수거알굴추천계통수구진행분석,연구수거알굴추천계통상관기술화산법,설계계통공능모괴가구.연구분석처리류정,구건수거알굴추천계통,실현산업집군신식적지능화알굴추천복무。산업집군수거알굴추천계통구유용호수구신식알굴추천、상관복무신식알굴、잠재협작화반알굴추천급과기성과동태감지등공능,능위용호추송경다유개치적신식,편우용호발현협작화반화잠재객호.촉진산업집군화집군기업적협동창신발전。
According to the characteristics of industry cluster and the platform of data retrieval, this paper analyzed data mining recommended system requirements, studied related recommendations technology and relative algorithm of data mining, de- signed system function module architecture, researched and analyzed process, constructed data mining recommending system, and intelligent information recommendation service of industry cluster. The system contains four main functional modules: user demand information mining and recommending, related service information mining, potential parmership mining and recommending and dynamic perception of seientifie literature. This system can push more valuable information and find partners and potential customers easily for users, and promotes the innovation development of industrial clusters and enterprises.