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相关概念视频

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...
NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences01:17

NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences

A pulse is a short burst of radio waves distributed over a range of frequencies that simultaneously excites all the nuclei in the sample. Upon passing a radio frequency pulse along the x-axis, the nuclei absorb energy corresponding to their Larmor frequencies and achieve resonance. This shifts the net magnetization vector from the z-axis toward the transverse plane. This angle of rotation of the magnetization vector, or the flip angle, is proportional to the duration and intensity of the pulse.
Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...

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相关实验视频

Updated: May 11, 2026

Synchrotron X-ray Microdiffraction and Fluorescence Imaging of Mineral and Rock Samples
10:12

Synchrotron X-ray Microdiffraction and Fluorescence Imaging of Mineral and Rock Samples

Published on: June 19, 2018

8.9K

针对RFM模式进行有针对性的挖掘.

Xiaoye Chen, Wensheng Gan, Zefeng Chen

    IEEE transactions on neural networks and learning systems
    |May 15, 2025
    PubMed
    概括

    本研究介绍了针对个性化客户细分的目标近期性,频率和货币价值 (RFM) 模式. 高效的TaRFM算法准确地提取这些模式,改善业务洞察力.

    科学领域:

    • 数据挖掘 数据挖掘
    • 商业情报 (BI) 是一种商业情报.
    • 客户关系管理 客户关系管理

    背景情况:

    • 数据挖掘对于分析信息时代的客户行为至关重要.
    • 传统的近期,频率和货币 (RFM) 模型对客户进行细分,但缺乏个性化.
    • 越来越需要高效和个性化的客户分析.

    研究的目的:

    • 引入目标RFM模式的概念,将用户的实用性和兴趣纳入其中.
    • 解决传统RFM模型在个性化和效率方面的局限性.
    • 开发一个高效的算法来挖掘这些目标RFM模式.

    主要方法:

    • 制定了采矿目标RFM模式的问题.
    • 定义了一个特定的采矿订单,TaRFM订单.
    • 提出了一个高效的算法,TaRFM,有三个修剪策略.

    主要成果:

    • 在没有后处理的情况下,TaRFM算法有效地提取所有目标RFM模式.
    • 修剪策略显著减少了无效操作和模式生成.
    • 广泛的实验在多个数据集上验证了算法的准确性和效率.

    更多相关视频

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    相关实验视频

    Last Updated: May 11, 2026

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    Published on: June 19, 2018

    8.9K
    Visualizing and Tracking Endogenous mRNAs in Live Drosophila melanogaster Egg Chambers
    07:39

    Visualizing and Tracking Endogenous mRNAs in Live Drosophila melanogaster Egg Chambers

    Published on: June 4, 2019

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    An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
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    An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome

    Published on: September 20, 2022

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    结论:

    • 塔RFM算法为个性化客户细分提供了有效的解决方案.
    • 这种方法通过更精确地识别高价值客户来增强业务智能.
    • 该方法提高了客户行为分析数据挖掘的效率和准确性.