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: High-Utility Pattern Mining; Theory, Algorithms a Philippe Fournier-Viger,Jerry Chun-Wei Lin,Vincent Book 2019 Springer Nature Switzerland

[復(fù)制鏈接]
查看: 48361|回復(fù): 44
樓主
發(fā)表于 2025-3-21 16:26:28 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱High-Utility Pattern Mining
副標(biāo)題Theory, Algorithms a
編輯Philippe Fournier-Viger,Jerry Chun-Wei Lin,Vincent
視頻videohttp://file.papertrans.cn/427/426808/426808.mp4
概述Presents an overview of the theory and core methods used in utility mining.Covers recent advances in high-utility mining.Includes stream, incremental, sequence, and big data mining.Discusses important
叢書名稱Studies in Big Data
圖書封面Titlebook: High-Utility Pattern Mining; Theory, Algorithms a Philippe Fournier-Viger,Jerry Chun-Wei Lin,Vincent Book 2019 Springer Nature Switzerland
描述.This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances, applications, open-source software, and research opportunities. It also discusses several types of discrete data, including customer transaction data and sequential data..The book consists of twelve chapters, seven of which are surveys presenting the main subfields of high-utility pattern mining, including itemset mining, sequential pattern mining, big data pattern mining, metaheuristic-based approaches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns...?.
出版日期Book 2019
關(guān)鍵詞High Utility Pattern Mining; Pattern Mining; Big Data; Data Mining; High Utility Mining
版次1
doihttps://doi.org/10.1007/978-3-030-04921-8
isbn_ebook978-3-030-04921-8Series ISSN 2197-6503 Series E-ISSN 2197-6511
issn_series 2197-6503
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

書目名稱High-Utility Pattern Mining影響因子(影響力)




書目名稱High-Utility Pattern Mining影響因子(影響力)學(xué)科排名




書目名稱High-Utility Pattern Mining網(wǎng)絡(luò)公開度




書目名稱High-Utility Pattern Mining網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱High-Utility Pattern Mining被引頻次




書目名稱High-Utility Pattern Mining被引頻次學(xué)科排名




書目名稱High-Utility Pattern Mining年度引用




書目名稱High-Utility Pattern Mining年度引用學(xué)科排名




書目名稱High-Utility Pattern Mining讀者反饋




書目名稱High-Utility Pattern Mining讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 20:22:48 | 只看該作者
板凳
發(fā)表于 2025-3-22 04:05:06 | 只看該作者
地板
發(fā)表于 2025-3-22 05:47:42 | 只看該作者
2197-6503 ches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns...?.978-3-030-04921-8Series ISSN 2197-6503 Series E-ISSN 2197-6511
5#
發(fā)表于 2025-3-22 09:14:07 | 只看該作者
Duy-Tai Dinh,Van-Nam Huynh,Bac Le,Philippe Fournier-Viger,Ut Huynh,Quang-Minh Nguyenwill be derived according to their historical progress and their increasing complexity as well. It will be seen that they all share common structural properties978-3-540-15241-5978-3-642-50094-7Series ISSN 0075-8442 Series E-ISSN 2196-9957
6#
發(fā)表于 2025-3-22 16:38:36 | 只看該作者
7#
發(fā)表于 2025-3-22 20:09:57 | 只看該作者
8#
發(fā)表于 2025-3-23 00:13:14 | 只看該作者
A Survey of High Utility Sequential Pattern Mining,the downward-closure property used in pattern mining to reduce the search space. This chapter introduces the problem of high utility sequence mining, the state-of-art algorithms, applications, present related problems and research opportunities. A key contribution of the chapter is to also provide a
9#
發(fā)表于 2025-3-23 03:03:05 | 只看該作者
Efficient Algorithms for High Utility Itemset Mining Without Candidate Generation,abase. By avoiding candidate generation, HUI-Miner can efficiently mine high utility itemsets. To further speed up the construction of utility-lists, HUI-Miner* introduces an improved structure called utility-list* and an horizontal method to construct utility-lists*. Experimental results show that
10#
發(fā)表于 2025-3-23 09:28:24 | 只看該作者
Mining High-Utility Irregular Itemsets, . (.), for efficiently mining high-utility irregular itemsets. The new-modified utility list structure (.) is applied for maintaining occurrence information simultaneously with utility value of an itemset and also for fast calculation of total utility of the itemset. Moreover, a new pruning techniq
 關(guān)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(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-13 00:19
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
莲花县| 巴马| 东台市| 读书| 青阳县| 二手房| 闽清县| 恩施市| 兰州市| 莎车县| 砀山县| 永川市| 隆昌县| 沂源县| 普兰店市| 阿图什市| 怀来县| 岫岩| 合水县| 贡嘎县| 永州市| 井冈山市| 阿尔山市| 荔波县| 文山县| 泉州市| 芒康县| 万安县| 石柱| 综艺| 吴江市| 静安区| 原阳县| 元氏县| 乳山市| 四子王旗| 福海县| 阿城市| 永平县| 云林县| 广饶县|