找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Mining of Data with Complex Structures; Fedja Hadzic,Henry Tan,Tharam S. Dillon Book 2010 Springer-Verlag Berlin Heidelberg 2010 Complex S

[復制鏈接]
查看: 23397|回復: 35
樓主
發(fā)表于 2025-3-21 16:57:36 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Mining of Data with Complex Structures
編輯Fedja Hadzic,Henry Tan,Tharam S. Dillon
視頻videohttp://file.papertrans.cn/635/634684/634684.mp4
概述The state of the art of Mining of Data with Complex Structures.Clarifies the type and nature of data with complex structure including sequences, trees and graphs.Written by leading experts in this fie
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Mining of Data with Complex Structures;  Fedja Hadzic,Henry Tan,Tharam S. Dillon Book 2010 Springer-Verlag Berlin Heidelberg 2010 Complex S
描述.Mining of Data with Complex Structures:.- Clarifies the type and nature of data with complex structure including sequences, trees and graphs.- Provides a detailed background of the state-of-the-art of sequence mining, tree mining and graph mining..-?Defines the essential aspects of the tree mining problem: subtree types, support definitions, constraints..- Outlines the implementation issues one needs to consider when developing tree mining algorithms (enumeration strategies, data structures, etc.).- Details the Tree Model Guided (TMG) approach for tree mining and provides the mathematical model for the worst case estimate of complexity of mining ordered induced and embedded subtrees..- ?Explains the mechanism of the TMG framework for mining ordered/unordered induced/embedded and distance-constrained embedded subtrees..- ?Provides a detailed comparison of the different tree mining approaches highlighting the characteristics and benefits of each approach..- ?Overviews the implications and potential applications of tree mining in general knowledge management related tasks, and uses Web, health and bioinformatics related applications as case studies..- ?Details the extension of the TM
出版日期Book 2010
關鍵詞Complex Structures; Computational Intelligence; Data Mining; Extension; Racter; bioinformatics; knowledge
版次1
doihttps://doi.org/10.1007/978-3-642-17557-2
isbn_softcover978-3-642-26703-1
isbn_ebook978-3-642-17557-2Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

書目名稱Mining of Data with Complex Structures影響因子(影響力)




書目名稱Mining of Data with Complex Structures影響因子(影響力)學科排名




書目名稱Mining of Data with Complex Structures網(wǎng)絡公開度




書目名稱Mining of Data with Complex Structures網(wǎng)絡公開度學科排名




書目名稱Mining of Data with Complex Structures被引頻次




書目名稱Mining of Data with Complex Structures被引頻次學科排名




書目名稱Mining of Data with Complex Structures年度引用




書目名稱Mining of Data with Complex Structures年度引用學科排名




書目名稱Mining of Data with Complex Structures讀者反饋




書目名稱Mining of Data with Complex Structures讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權限
沙發(fā)
發(fā)表于 2025-3-21 23:49:14 | 只看該作者
Book 2010es a detailed background of the state-of-the-art of sequence mining, tree mining and graph mining..-?Defines the essential aspects of the tree mining problem: subtree types, support definitions, constraints..- Outlines the implementation issues one needs to consider when developing tree mining algor
板凳
發(fā)表于 2025-3-22 00:50:27 | 只看該作者
Fedja Hadzic,Henry Tan,Tharam S. DillonThe state of the art of Mining of Data with Complex Structures.Clarifies the type and nature of data with complex structure including sequences, trees and graphs.Written by leading experts in this fie
地板
發(fā)表于 2025-3-22 05:23:35 | 只看該作者
5#
發(fā)表于 2025-3-22 11:18:19 | 只看該作者
6#
發(fā)表于 2025-3-22 15:01:22 | 只看該作者
Studies in Computational Intelligencehttp://image.papertrans.cn/m/image/634684.jpg
7#
發(fā)表于 2025-3-22 19:41:23 | 只看該作者
8#
發(fā)表于 2025-3-23 00:54:20 | 只看該作者
1860-949X ications and potential applications of tree mining in general knowledge management related tasks, and uses Web, health and bioinformatics related applications as case studies..- ?Details the extension of the TM978-3-642-26703-1978-3-642-17557-2Series ISSN 1860-949X Series E-ISSN 1860-9503
9#
發(fā)表于 2025-3-23 03:51:00 | 只看該作者
Book 2010ches highlighting the characteristics and benefits of each approach..- ?Overviews the implications and potential applications of tree mining in general knowledge management related tasks, and uses Web, health and bioinformatics related applications as case studies..- ?Details the extension of the TM
10#
發(fā)表于 2025-3-23 07:24:57 | 只看該作者
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-21 16:11
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
略阳县| 沽源县| 新营市| 融水| 广州市| 利辛县| 浦县| 泸州市| 池州市| 嘉峪关市| 西充县| 安图县| 襄汾县| 那曲县| 西华县| 承德市| 南阳市| 伊春市| 哈巴河县| 徐州市| 仪征市| 阳新县| 镇原县| 高青县| 麻栗坡县| 克东县| 友谊县| 中牟县| 襄樊市| 阆中市| 九江市| 汶上县| 千阳县| 曲阳县| 龙川县| 婺源县| 建阳市| 大名县| 宁海县| 凌源市| 精河县|