標(biāo)題: Titlebook: Cognition-Driven Decision Support for Business Intelligence; Models, Techniques, Li Niu,Jie Lu,Guangquan Zhang Book 2009 Springer-Verlag B [打印本頁] 作者: Autopsy 時(shí)間: 2025-3-21 17:12
書目名稱Cognition-Driven Decision Support for Business Intelligence影響因子(影響力)
書目名稱Cognition-Driven Decision Support for Business Intelligence影響因子(影響力)學(xué)科排名
書目名稱Cognition-Driven Decision Support for Business Intelligence網(wǎng)絡(luò)公開度
書目名稱Cognition-Driven Decision Support for Business Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Cognition-Driven Decision Support for Business Intelligence被引頻次
書目名稱Cognition-Driven Decision Support for Business Intelligence被引頻次學(xué)科排名
書目名稱Cognition-Driven Decision Support for Business Intelligence年度引用
書目名稱Cognition-Driven Decision Support for Business Intelligence年度引用學(xué)科排名
書目名稱Cognition-Driven Decision Support for Business Intelligence讀者反饋
書目名稱Cognition-Driven Decision Support for Business Intelligence讀者反饋學(xué)科排名
作者: 悲觀 時(shí)間: 2025-3-21 22:40
Cognition-Driven Decision Support for Business IntelligenceModels, Techniques, 作者: instate 時(shí)間: 2025-3-22 00:44 作者: 強(qiáng)有力 時(shí)間: 2025-3-22 05:39
Business Intelligencees of DSS, such as model-driven DSS, communication-driven DSS, and knowledge-driven DSS (Section 1.5.3), BI systems suffer from lack of cognitive decision support, despite their powerful data analysis functions. This chapter will discuss the basic BI concepts, architecture and some vendors’ BI produ作者: 時(shí)代錯(cuò)誤 時(shí)間: 2025-3-22 08:59 作者: 不可思議 時(shí)間: 2025-3-22 16:22 作者: 不可思議 時(shí)間: 2025-3-22 20:35
Cognition-Driven Decision Processesates IS artifacts into the human cognitive process. In this sense, decision making is an integral process comprised of the human cognitive process as well as IS functionality. We use the term . (CDDP) to denote such a decision making process. In this chapter, a conceptual framework is presented in S作者: 小樣他閑聊 時(shí)間: 2025-3-23 01:08 作者: otic-capsule 時(shí)間: 2025-3-23 05:22
Natural Language Processing for Situation Awareness describe their SA using a natural language (English) and input SA descriptions into the system. This feature makes it easier for managers to interact with the system and develop their SA for decision making. SA descriptions are comprised of SA sentences. A syntactic parser is used to chunk down SA 作者: 疏遠(yuǎn)天際 時(shí)間: 2025-3-23 08:05 作者: defile 時(shí)間: 2025-3-23 12:10 作者: CANDY 時(shí)間: 2025-3-23 15:33 作者: 強(qiáng)制令 時(shí)間: 2025-3-23 20:28
Application Cases of FACETStious organizations in business (Section 11.1) and public health (Section 11.2) respectively, for illustration of applying FACETS to support decision making. For each specific application of FACETS, three components need to be instantiated: a data warehouse, an ontology, and an experience base.作者: 祝賀 時(shí)間: 2025-3-23 23:33 作者: albuminuria 時(shí)間: 2025-3-24 05:32 作者: 不確定 時(shí)間: 2025-3-24 07:08
Die eigene Aufmerksamkeit besser steuernes of DSS, such as model-driven DSS, communication-driven DSS, and knowledge-driven DSS (Section 1.5.3), BI systems suffer from lack of cognitive decision support, despite their powerful data analysis functions. This chapter will discuss the basic BI concepts, architecture and some vendors’ BI produ作者: 枕墊 時(shí)間: 2025-3-24 11:15
Die Arbeit ist ein ewiger Fluss. With rich SA and mental models, a decision maker is able to understand the current decision situation, identify potential threats and opportunities, and predict the future. In this chapter, we will introduce the basic concepts and models of SA, mental models and naturalistic decision making, and t作者: Lacerate 時(shí)間: 2025-3-24 15:22
Konkrete Handlungsoptionen entwickeln design and development of DSS. In Chapter 3, we analyzed some important concepts and models in managerial cognition. Managers’ rich SA and mental models are two prerequisites for and likely lead to successful decisions according NDM theory. In this chapter, we will look at the role of managers’ cog作者: 粗魯?shù)娜?nbsp; 時(shí)間: 2025-3-24 20:49
Die eigene Aufmerksamkeit besser steuernates IS artifacts into the human cognitive process. In this sense, decision making is an integral process comprised of the human cognitive process as well as IS functionality. We use the term . (CDDP) to denote such a decision making process. In this chapter, a conceptual framework is presented in S作者: cumulative 時(shí)間: 2025-3-25 03:11
Achtsamkeit als Schlüsselkompetenzific methods, algorithms, and techniques which are the implementation of the cognition-driven decision process (CDDP) model. This chapter discusses two kinds of domain knowledge used in the CDDP model: ontology and experience. A domain ontology is represented as a class tree and a class graph based 作者: 兵團(tuán) 時(shí)間: 2025-3-25 04:44 作者: Orthodontics 時(shí)間: 2025-3-25 10:27 作者: 管理員 時(shí)間: 2025-3-25 13:53
Die eigene Aufmerksamkeit besser steuernnager to describe his/her SA in the form of English. Based on the domain knowledge, FACETS parses the manager’s SA and constructs data warehouse queries. Queries are submitted to the data warehouse for retrieving relevant situation information. The retrieved situation information is presented to man作者: Headstrong 時(shí)間: 2025-3-25 16:17 作者: NAV 時(shí)間: 2025-3-25 20:39 作者: 傷心 時(shí)間: 2025-3-26 03:32
Achtsamkeit als SchlüsselkompetenzThis chapter introduces the general concepts, models and techniques of decision making and decision support systems. It also gives readers an overview of the new models and techniques presented in the following chapters of this book.作者: cartilage 時(shí)間: 2025-3-26 07:17 作者: Mortal 時(shí)間: 2025-3-26 11:22 作者: 傲慢物 時(shí)間: 2025-3-26 13:01
Application Cases of FACETStious organizations in business (Section 11.1) and public health (Section 11.2) respectively, for illustration of applying FACETS to support decision making. For each specific application of FACETS, three components need to be instantiated: a data warehouse, an ontology, and an experience base.作者: 古老 時(shí)間: 2025-3-26 18:46
https://doi.org/10.1007/978-3-642-03208-0algorithm; algorithms; business intelligence; cognition; data warehouse; information retrieval; knowledge; 作者: Alopecia-Areata 時(shí)間: 2025-3-26 21:23
978-3-642-26033-9Springer-Verlag Berlin Heidelberg 2009作者: 寬大 時(shí)間: 2025-3-27 01:27
Cognition-Driven Decision Support for Business Intelligence978-3-642-03208-0Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: 可互換 時(shí)間: 2025-3-27 08:31 作者: 發(fā)出眩目光芒 時(shí)間: 2025-3-27 09:32 作者: Tdd526 時(shí)間: 2025-3-27 14:24 作者: 起草 時(shí)間: 2025-3-27 21:37
Die eigene Aufmerksamkeit besser steuernsion support, despite their powerful data analysis functions. This chapter will discuss the basic BI concepts, architecture and some vendors’ BI products. The drawbacks of today’s BI are also analyzed in details.作者: inchoate 時(shí)間: 2025-3-28 01:46
Die Arbeit ist ein ewiger Fluss and predict the future. In this chapter, we will introduce the basic concepts and models of SA, mental models and naturalistic decision making, and the implications of them to investigating the problems of the decision making model of classical DSS.作者: 加劇 時(shí)間: 2025-3-28 02:49 作者: lactic 時(shí)間: 2025-3-28 10:13 作者: 用樹皮 時(shí)間: 2025-3-28 13:16 作者: 弄皺 時(shí)間: 2025-3-28 14:44
Managerial Cognition and predict the future. In this chapter, we will introduce the basic concepts and models of SA, mental models and naturalistic decision making, and the implications of them to investigating the problems of the decision making model of classical DSS.作者: 斗志 時(shí)間: 2025-3-28 20:10 作者: Humble 時(shí)間: 2025-3-29 00:34 作者: jaunty 時(shí)間: 2025-3-29 03:55 作者: 憤怒歷史 時(shí)間: 2025-3-29 11:09
Achtsamkeit als Schlüsselkompetenznitive mapping technique. The domain ontology is used for extracting semantic information of SA. The extracted SA semantics together with experience are then used for query construction. This chapter will focus on domain ontology and experience.
