標題: Titlebook: Business Intelligence; Third European Summe Esteban Zimányi Textbook 2014 Springer Nature Switzerland AG 2014 Big Data.Business intelligenc [打印本頁] 作者: 小缺點 時間: 2025-3-21 18:16
書目名稱Business Intelligence影響因子(影響力)
書目名稱Business Intelligence影響因子(影響力)學科排名
書目名稱Business Intelligence網(wǎng)絡公開度
書目名稱Business Intelligence網(wǎng)絡公開度學科排名
書目名稱Business Intelligence被引頻次
書目名稱Business Intelligence被引頻次學科排名
書目名稱Business Intelligence年度引用
書目名稱Business Intelligence年度引用學科排名
書目名稱Business Intelligence讀者反饋
書目名稱Business Intelligence讀者反饋學科排名
作者: 苦澀 時間: 2025-3-21 22:58 作者: 起皺紋 時間: 2025-3-22 02:17 作者: 中國紀念碑 時間: 2025-3-22 04:41 作者: Ccu106 時間: 2025-3-22 12:42 作者: PRISE 時間: 2025-3-22 12:54 作者: 歌曲 時間: 2025-3-22 18:22
Intelligent Wizard for Human Language Interaction in Business Intelligence,ending Intelligent Wizard to prior art. Secondly, we present the Intelligent Wizard as implemented in a real-world industrial Business Intelligence (BI) application. Finally, we demonstrate by concrete examples that the Intelligent Wizard allows a user to navigate a real-world data warehouse using o作者: fixed-joint 時間: 2025-3-22 21:53
Esteban ZimányiConcise and comprehensive introduction to various aspects of business intelligence (BI).Combines traditional BI technologies with new topics such as business semantics, Big Data analysis, and Linked O作者: forthy 時間: 2025-3-23 05:16 作者: Anterior 時間: 2025-3-23 09:23
https://doi.org/10.1007/978-3-319-05461-2Big Data; Business intelligence; Business process management; Business semantics; Indexing; Linked open d作者: 時間等 時間: 2025-3-23 10:31
978-3-319-05460-5Springer Nature Switzerland AG 2014作者: 長矛 時間: 2025-3-23 15:30
Global Justice and Civil Society,attern mining. Pattern mining is often defined as the automatic search for interesting patterns and regularities in large databases. In practise this definition most often comes down to listing all patterns that exceed a user-defined threshold for a fixed interestingness measure. The simplest such p作者: 常到 時間: 2025-3-23 21:12 作者: Cultivate 時間: 2025-3-24 00:36 作者: coagulation 時間: 2025-3-24 06:20
Bianca Mitu,Stamatis Poulakidakosnces in this direction and despite the technical challenges behind such approach recent advances have shown its feasibility. Semantic-aware formalisms (such as RDF and ontology languages) have been successfully put in practice in approaches such as Linked Data, whereas movements like Open Data have 作者: slow-wave-sleep 時間: 2025-3-24 10:25 作者: 傳授知識 時間: 2025-3-24 11:50
Taneli Heikka,Katja Valaskivi,Turo Uskaliave been focusing on optimizing such queries by means of materialized views, data and index partitioning, as well as various index structures including: join indexes, bitmap join indexes, multidimensional indexes or index-based multidimensional clusters. These structures neither well support navigat作者: Foreshadow 時間: 2025-3-24 17:20 作者: 漂泊 時間: 2025-3-24 22:59
Business Intelligence978-3-319-05461-2Series ISSN 1865-1348 Series E-ISSN 1865-1356 作者: 變量 時間: 2025-3-24 23:13
Global Justice and Civil Society,bgraphs. In the second part of the paper we then look into the pattern explosion problem. Due to redundancy among patterns, most often the list of all patterns satisfying the frequency thresholds is so large that post-processing is required to extract useful information from them. We give an overvie作者: gruelling 時間: 2025-3-25 07:15
Global Justice and Civil Society, be used for process discovery and conformance checking. Moreover, some very general decomposition results are discussed. These allow for the decomposition and distribution of process discovery and conformance checking problems, thus enabling process mining in the large.作者: COLIC 時間: 2025-3-25 09:56 作者: 強化 時間: 2025-3-25 13:20 作者: 矛盾心理 時間: 2025-3-25 19:47
Euroelections as a European Media Event? article presents an overview of forecasting techniques in database management systems. After discussing possible application areas for time series forecasting, we give a short mathematical background of the main forecasting concepts. We then outline various general strategies of integrating time se作者: Epithelium 時間: 2025-3-25 20:16
Taneli Heikka,Katja Valaskivi,Turo Uskalithe extension of the index with additional data structure for storing aggregate values along the hierarchical structure of the index. The aggregates are used for speeding up aggregate queries along dimension hierarchies. Furthermore, we show how the index is used for answering queries in an example 作者: 有毛就脫毛 時間: 2025-3-26 01:55
Introduction to Pattern Mining,bgraphs. In the second part of the paper we then look into the pattern explosion problem. Due to redundancy among patterns, most often the list of all patterns satisfying the frequency thresholds is so large that post-processing is required to extract useful information from them. We give an overvie作者: 地名詞典 時間: 2025-3-26 05:19
Process Mining in the Large: A Tutorial, be used for process discovery and conformance checking. Moreover, some very general decomposition results are discussed. These allow for the decomposition and distribution of process discovery and conformance checking problems, thus enabling process mining in the large.作者: Banquet 時間: 2025-3-26 09:28 作者: Fulsome 時間: 2025-3-26 13:45
Open Access Semantic Aware Business Intelligence,h the new linked open data paradigm BI systems must meet new requirements such as providing on-demand analysis tasks over any relevant (either internal or external) data source in .. In this paper we discuss the technical challenges behind such requirements, which we refer to as ., and envision a ne作者: mortgage 時間: 2025-3-26 19:33
Transparent Forecasting Strategies in Database Management Systems, article presents an overview of forecasting techniques in database management systems. After discussing possible application areas for time series forecasting, we give a short mathematical background of the main forecasting concepts. We then outline various general strategies of integrating time se作者: ORE 時間: 2025-3-26 23:14 作者: 大吃大喝 時間: 2025-3-27 05:07
Textbook 2014nly established BI and BPM technologies, but extend into innovative aspects that are important in this new environment and for novel applications, e.g., pattern and process mining, business semantics, Linked Open Data, and large-scale data management and analysis..Combining papers by leading researc作者: Alcove 時間: 2025-3-27 07:59 作者: 隱士 時間: 2025-3-27 11:30
1865-1348 such as business semantics, Big Data analysis, and Linked O.To large organizations, business intelligence (BI) promises the capability of collecting and analyzing internal and external data to generate knowledge and value, thus providing decision support at the strategic, tactical, and operational 作者: antipsychotic 時間: 2025-3-27 15:16 作者: lethal 時間: 2025-3-27 19:51 作者: CHIP 時間: 2025-3-28 01:54 作者: Pruritus 時間: 2025-3-28 02:56
10樓作者: facilitate 時間: 2025-3-28 08:08
10樓
