標(biāo)題: Titlebook: Net Gain; Profit im Netz John Hagel,Arthur G. Armstrong Book 1999 Springer Fachmedien Wiesbaden 1999 Erfolg.Management.Markt.Marktpositioni [打印本頁(yè)] 作者: 神像之光環(huán) 時(shí)間: 2025-3-21 17:49
書目名稱Net Gain影響因子(影響力)
書目名稱Net Gain影響因子(影響力)學(xué)科排名
書目名稱Net Gain網(wǎng)絡(luò)公開(kāi)度
書目名稱Net Gain網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書目名稱Net Gain被引頻次
書目名稱Net Gain被引頻次學(xué)科排名
書目名稱Net Gain年度引用
書目名稱Net Gain年度引用學(xué)科排名
書目名稱Net Gain讀者反饋
書目名稱Net Gain讀者反饋學(xué)科排名
作者: textile 時(shí)間: 2025-3-21 21:12 作者: 強(qiáng)壯 時(shí)間: 2025-3-22 01:39
Das organische Wachstum managen Managementmethode — ?hnlich der eines G?rtners, der s?t, hegt und pflegt. Erfolgreichen Organisatoren wird es gelingen, beim Aufbau von virtuellen Communities deren organischem Wesen gerecht zu werden und dabei die profitversprechenden Faktoren nicht aus den Augen zu verlleren.作者: osteoclasts 時(shí)間: 2025-3-22 07:32
Funktionales Management überdenkenht. Durch die Verlagerung der Macht von den Anbietern auf die K?ufer werden virtuelle Communities unwiderruflich die Absatz- und Verkaufspolitik gro?er Unternehmen ver?ndern. Funktionen wie Marketing und Vertrieb müssen daher neu überdacht werden作者: 龍蝦 時(shí)間: 2025-3-22 09:23 作者: 戲服 時(shí)間: 2025-3-22 15:13 作者: NAG 時(shí)間: 2025-3-22 19:44
John Hagel,Arthur G. ArmstrongEndlich Gewinne im Internet作者: entreat 時(shí)間: 2025-3-22 22:11 作者: Condescending 時(shí)間: 2025-3-23 03:00
M?rkte und Organisationen neu gestaltenVirtuelle Communities haben die Macht, Industrien und Unternehmensorganisationen neu zu gestalten. Sie lassen ein neues Unter-? nehmertum entstehen, das m?glicherweise die Vorherrschaft der gr??ten Unternehmen von heute bedroht. Wer diese neuen Kr?fte versteht, sich ihnen anpasst und sie formt, wird zu den Gewinnern z?hlen.作者: landmark 時(shí)間: 2025-3-23 09:16
Management-AgendaIn diesem Buch wollten wir keinen Leitfaden für Aufbau und Management von virtuellen Communities entwickeln. Dennoch m?chten wir versuchen, auch die Frage ?Was mache ich denn jetzt genau?“ zu beantworten. Im Folgenden werden vier Schritte vorgestellt, die bei der praktischen Organisation einer virtuellen Community helfen sollen.作者: 抓住他投降 時(shí)間: 2025-3-23 10:54
http://image.papertrans.cn/n/image/662727.jpg作者: coddle 時(shí)間: 2025-3-23 17:40
https://doi.org/10.1007/978-3-322-84687-7Erfolg; Management; Markt; Marktpositionierung; M?rkte; Net Gain作者: 自作多情 時(shí)間: 2025-3-23 20:29 作者: 翻動(dòng) 時(shí)間: 2025-3-23 23:49 作者: critic 時(shí)間: 2025-3-24 03:37
Epilogdings werden sich diese neuen Unternehmen im Gegensatz zu ihren Vorl?ufern vermutlich nicht auf die High-Tech-Industrie beschr?nken. Sie konnten in einer Vielzahl von Industrien auftauchen und ihre Landschaften auf Kosten der gr??eren, etablierten Unternehmen einschneidend ver?ndern.作者: 昏迷狀態(tài) 時(shí)間: 2025-3-24 07:23
Die Schnellen gewinnenrld Wide Web zu werben in der Hoffnung, dass ein Surfer lange genug verweilt, um etwas zu kaufen. Die Verwendung dieser eigentlich auf herk?mmliche Medien zugeschnittenen Anzeigenform l?sst erkennen, dass die H?ndler das revolution?re Potenzial, das im Internet und in anderen Netzen steckt, noch nicht entdeckt haben.作者: 粘連 時(shí)間: 2025-3-24 12:13 作者: 新星 時(shí)間: 2025-3-24 17:49
Die Wahl der richtigen Technologiehandene nutzen und desto schneller handeln zu k?nnen. Setzen Sie langfristig auf das Internet und erwerben Sie in der Zwischenzeit die für den Aufbau einer kommerziell erfolgreichen virtuellen Community n?tige Technologie.作者: NORM 時(shí)間: 2025-3-24 21:27 作者: osteoclasts 時(shí)間: 2025-3-25 01:16 作者: 摘要記錄 時(shí)間: 2025-3-25 05:01
n the field of neural indexing. By learning a single neural network model that approximates the .-nearest neighbor distance bounds for all points in a database, the storage complexity of the proposed index structure is reduced to . while the index is still able to guarantee exact query results. As s作者: Asseverate 時(shí)間: 2025-3-25 10:16
John Hagel III,Arthur G. Armstrongn the field of neural indexing. By learning a single neural network model that approximates the .-nearest neighbor distance bounds for all points in a database, the storage complexity of the proposed index structure is reduced to . while the index is still able to guarantee exact query results. As s作者: 解開(kāi) 時(shí)間: 2025-3-25 14:39
John Hagel III,Arthur G. Armstrongn the field of neural indexing. By learning a single neural network model that approximates the .-nearest neighbor distance bounds for all points in a database, the storage complexity of the proposed index structure is reduced to . while the index is still able to guarantee exact query results. As s作者: ECG769 時(shí)間: 2025-3-25 16:55
John Hagel III,Arthur G. Armstrongr of distance calculations. We applied our technique in the Slim-tree and performed experiments over real data sets showing that the proposed technique is able to reduce the execution time of both range and .-nearest queries to at least half of the Slim-tree. Moreover, this technique is general to b作者: 確定的事 時(shí)間: 2025-3-25 22:13
John Hagel III,Arthur G. Armstrongr of distance calculations. We applied our technique in the Slim-tree and performed experiments over real data sets showing that the proposed technique is able to reduce the execution time of both range and .-nearest queries to at least half of the Slim-tree. Moreover, this technique is general to b作者: bonnet 時(shí)間: 2025-3-26 02:46 作者: HUMP 時(shí)間: 2025-3-26 05:55 作者: Diuretic 時(shí)間: 2025-3-26 09:54 作者: 轉(zhuǎn)向 時(shí)間: 2025-3-26 12:52 作者: 寬大 時(shí)間: 2025-3-26 20:33
John Hagel III,Arthur G. Armstrong solution..As dimensionality increases, the number of defined regions must increase, but the memory required for the exclusion calculation does not. We show that the technique gives excellent performance over the SISAP benchmark data sets, and most interestingly we show how increases in dimensionali作者: 吹牛需要藝術(shù) 時(shí)間: 2025-3-26 23:38
solution..As dimensionality increases, the number of defined regions must increase, but the memory required for the exclusion calculation does not. We show that the technique gives excellent performance over the SISAP benchmark data sets, and most interestingly we show how increases in dimensionali作者: infringe 時(shí)間: 2025-3-27 01:06
John Hagel III,Arthur G. Armstrong solution..As dimensionality increases, the number of defined regions must increase, but the memory required for the exclusion calculation does not. We show that the technique gives excellent performance over the SISAP benchmark data sets, and most interestingly we show how increases in dimensionali作者: milligram 時(shí)間: 2025-3-27 06:18 作者: 友好 時(shí)間: 2025-3-27 09:53 作者: 阻擋 時(shí)間: 2025-3-27 15:29
John Hagel III,Arthur G. Armstrongtions. Over time the datasets being searched have become more complex, leading to higher dimensional spaces. It is now understood that even an approximate search in a very high-dimensional space is destined to require . time and space..Almost entirely missing from the research literature however is 作者: 無(wú)意 時(shí)間: 2025-3-27 19:28
e such searching and discuss its advantages concerning similarity quantifications, namely its efficiency and robustness. We also propose a pioneering implementation of the relational similarity search for the Euclidean spaces and report its extreme filtering power in comparison with 3 contemporary t作者: HERTZ 時(shí)間: 2025-3-27 23:03 作者: Ejaculate 時(shí)間: 2025-3-28 05:23 作者: 雀斑 時(shí)間: 2025-3-28 09:55
r, computing the .-nearest neighbor sets for all points in a database is expensive in terms of computational costs. Therefore, specific index structures have been invented to apply pruning heuristics which aim at reducing the search space. At time, the state-of-the-art index structure for enabling f作者: BRIDE 時(shí)間: 2025-3-28 11:31 作者: 粗魯性質(zhì) 時(shí)間: 2025-3-28 15:02 作者: 混合 時(shí)間: 2025-3-28 20:20
John Hagel III,Arthur G. Armstrongon mechanisms are similarity predicates are usually immersed in metric spaces. Metric Access Methods (MAMs) exploit the metric space properties to divide the metric space into regions and conquer efficiency on the processing of similarity queries, like range and .-nearest neighbor queries..Existing 作者: Compass 時(shí)間: 2025-3-28 23:53
John Hagel III,Arthur G. Armstrongon mechanisms are similarity predicates are usually immersed in metric spaces. Metric Access Methods (MAMs) exploit the metric space properties to divide the metric space into regions and conquer efficiency on the processing of similarity queries, like range and .-nearest neighbor queries..Existing 作者: gangrene 時(shí)間: 2025-3-29 06:09
y join has attracted considerable attention. However, this operator does not consider the relationship among the elements in the answer, generating results with many pairs similar among themselves, which does not add value to the final answer. Result diversification methods are intended to retrieve 作者: Concrete 時(shí)間: 2025-3-29 10:22
John Hagel III,Arthur G. Armstrongcient and effective aggregate similarity search, also known as aggregate nearest neighbor (AggNN) search. Given a group of query objects ., the goal of AggNN is to retrieve the . most similar objects from the database, where the underlying similarity measure is defined as an aggregation (usually ., 作者: 保守 時(shí)間: 2025-3-29 14:37 作者: 抓住他投降 時(shí)間: 2025-3-29 17:38
John Hagel III,Arthur G. Armstronged as a very efficient alternative for similarity retrieval. However, to the best of our knowledge, there are no previous works with experimental analysis on a comprehensive number of graph-based methods using the same search algorithm and execution environment. In this work, we survey the main grap作者: Epithelium 時(shí)間: 2025-3-29 23:19 作者: Confess 時(shí)間: 2025-3-30 00:59
anisms use a “just-in-time” approach where distances are calculated as part of a navigational strategy. An alternative is to use a“one-time” approach, where distances to a fixed set of reference objects are calculated at the start of each query. These distances are typically used to re-cast data and作者: Commemorate 時(shí)間: 2025-3-30 06:21 作者: Popcorn 時(shí)間: 2025-3-30 12:17 作者: Negligible 時(shí)間: 2025-3-30 15:25 作者: integrated 時(shí)間: 2025-3-30 19:14
John Hagel III,Arthur G. Armstrongtion defined over the space, therefore each element of the space is contained within precisely one of the equivalence classes of the partition. All attempts to search a finite space efficiently, whether exactly or approximately, rely on some set of principles which imply that if the query is within 作者: 津貼 時(shí)間: 2025-3-30 22:36
features have become much more precise but also bulkier, and the similarity computations more time-consuming. While the . nearest neighbours (.NN) search dominates the real-life applications, we claim that it is principally free of a need for precise similarity quantifications. Based on the well-kn作者: gait-cycle 時(shí)間: 2025-3-31 03:57
Einleitungen. Die Aufmerksamkeit, die innerhalb von The Well virtuellen schwarzen Brettern und E-Mail gewidmet wurde, machte uns bewusst, dass es bei Netzen letztendlich d?mm geht, Menschen miteinander zu verbinden. Sie unterstrich auch die Bedeutung neuer Inhalte, die von den Mitgliedern von The Well w?hrend作者: Admire 時(shí)間: 2025-3-31 07:39
Die Schnellen gewinnent und in anderen Netzen vertretenen Firmen sind allerdings auch wenig aktiv. Sie beschr?nken sich darauf, für ihre Produkte auf ?Reklamefl?chen“ im World Wide Web zu werben in der Hoffnung, dass ein Surfer lange genug verweilt, um etwas zu kaufen. Die Verwendung dieser eigentlich auf herk?mmliche Me
