`
blueoxygen
  • 浏览: 1193535 次
  • 性别: Icon_minigender_1
社区版块
存档分类
最新评论

[Wiki Recommendation] BW table types

BW 
阅读更多

http://wiki.sdn.sap.com/wiki/display/BI/BW+Table+Types+(MD+tbl,+SID+tbl,+DIM+tbl,+etc)

分享到：
| Oracle与SAP BI产品对比 #3
评论
发表评论

您还没有登录,请您登录后再发表评论

相关推荐

    [wiki recommendation] Best Practice for Crystal report with SAP BW&ERP

    NULL 博文链接：https://sap.iteye.com/blog/1264994

    Building Recommendation Engines.epub

    Table of Contents Chapter 1. Introduction to Recommendation Engines Chapter 2. Build Your First Recommendation Engine Chapter 3. Recommendation Engines Explained Chapter 4. Data Mining Techniques Used...

    Building.a.Recommendation.System.with.R.1783554495

    Table of Contents Chapter 1: Getting Started with Recommender Systems Chapter 2: Data Mining Techniques Used in Recommender Systems Chapter 3: Recommender Systems Chapter 4: Evaluating the Recommender...

    ITU T Recommendation V.250

    ### ITU T Recommendation V.250：串行异步自动拨号与控制 #### 概述 ITU T Recommendation V.250是一项国际电信联盟（ITU）制定的标准，主要针对电话网络上的数据通信，定义了终端设备（DTE）通过串行异步接口...

    Building Recommendation Engines

    Building Recommendation Engines English | 5 Jan. 2017 | ISBN: 1785884859 | 357 Pages | AZW3/MOBI/EPUB/PDF (conv) | 81.07 MB Key Features A step-by-step guide to building recommendation engines that ...

    SoRec Social Recommendation using Probabilistic Matrix

    2008年，Hao Ma等人提出的SoRec（Social Recommendation Using Probabilistic Matrix Factorization）是一种创新性的解决方案，它考虑了用户之间的社会关系，从而提升了推荐系统的性能。 传统的推荐系统主要依赖于...

    tencent-real time stream recommendation

    in most web applications, accurate real-time recommendation in the context of big data is of high demand. Traditional recommender systems that analyze data and update models at regular time intervals ...

    santander_product_recommendation.zip

    "santander_product_recommendation.zip" 文件是源自 Kaggle 的一个数据集，它为我们提供了一个探究 Santander 银行如何运用数据驱动策略进行产品推荐的宝贵机会。 Kaggle 是全球知名的机器学习和数据分析竞赛平台...

    Constrained Preference Embedding for Item Recommendation

    Constrained Preference Embedding for Item Recommendation

    Recommendation via Discriminatively Exploiting User Behaviors.pdf

    2018-Learning from History and Present Next-item Recommendation via Discriminatively Exploiting User Behaviors

    kaggle elo-merchant-category-recommendation dataset

    "elo-merchant-category-recommendation"是Kaggle举办的一场竞赛，旨在利用机器学习技术为用户提供最优的商户类别推荐。本数据集包含多个文件，如historical_transactions.csv、new_merchant_transactions.csv、...

    Collaborative personalized tweet recommendation

    本文《Collaborative personalized tweet recommendation》（协作个性化推文推荐）针对这一问题，提出了基于协作排名的方法来捕捉用户的个性化兴趣，并整合其他有用的上下文信息，从而向用户推荐他们真正感兴趣的...

    AKeyword-AwareService Recommendation Method on MapReduce

    ### AKeyword-Aware Service Recommendation Method on MapReduce #### 背景 随着近年来数据量的爆炸性增长，大数据分析已成为推动生产力增长、创新和消费者盈余的关键基础。所谓的大数据是指那些规模超出现有技术...

    hands-recommendation-systems-python

    Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python Rounak Banik 201807 Packt Publishing

    amazon_recommendation

    对amazon.com recommendation:item-to-item collaborative filtering提到的协同过滤推荐算法进行了实现。文件中ratings.xlsx是数据集，movies.xlsx存储的是电影名字和相应编号，name_index.mat是把movies.xlsx导入...

    BLOB_A Probabilistic Model for Recommendation that Combines Organic and Bandit S

    KDD2020论文BLOB_A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals ｜ 推荐 ｜ 强化学习

    Causal Recommendation：Progresses and Future Directions.pdf

    《因果推荐：进展与未来趋势》是2022年网络会议的一个讲座教程，由Yang Zhang、Wenjie Wang、Peng Wu、Fuli Feng、Xiangnan He等人组织。教程的目标是填补因果推荐领域的系统性综述空白，帮助研究人员和实践者更好地...

    Recommendation ITU-R-BT.2020.pdf

    Recommendation ITU-R-BT.2020: Parameter values for ultra-high definition television systems for production and International programme exchange

Magicbox
Global site tag (gtag.js) - Google Analytics