levi Fish AudioによるAIボイスジェネレーター

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levi

Hello everyone, today I am going to explain the topic Association Rule Mining, which is one of the most important concepts in Data Mining. This technique is widely used in the real world, especially in businesses and e-commerce platforms. A technique in Data Mining Finds hidden relationships between items Identifies which items are frequently bought or used together Helps in decision making Association Rule Mining is a data mining technique used to discover hidden relationships between items in large datasets. In simple words, it tells us which items are often bought together or used together. This helps organizations make better business decisions. Supermarket: Bread + Butter + Jam E-commerce: Amazon, Flipkart recommendations Banking: Customers who use credit cards often apply for loans Healthcare: Symptoms and disease diagnosis For example, in a supermarket, if customers buy bread and butter, and also buy jam, the store can keep these items close to each other. In e-commerce platforms like Amazon and Flipkart, this is used in the recommendation system — for example, when you buy a mobile phone, it recommends a cover or earphones. It is also used in banking and healthcare sectors to analyze customer behavior and medical patterns. Support: Frequency of itemset in dataset Confidence: Likelihood of items appearing together Lift: Strength of the relationship compared to random chance There are three main measures in Association Rule Mining: Support – how frequently an itemset appears in the dataset. Confidence – how likely items are bought together. Lift – how strong the relationship is compared to random chance. Slide 5: Example of Measures Support Example: 30% customers buy {Milk, Bread} Confidence Example: 80% of customers who buy bread also buy butter Lift Example: Lift > 1 means strong relationship Let us see examples: If 30% of customers buy milk and bread together, support = 30%. If 80% of customers who buy bread also buy butter, then confidence of rule Bread → Butter is 80%. If lift is greater than 1, then the items are strongly related. Slide 6: Why is Association Rule Mining Important? Product Placement – Arrange items in stores Recommendation Systems – Amazon, Flipkart, Netflix Cross-Selling – Boost sales by suggesting related items Customer Behavior Analysis – Understand patterns Profit Increase – Smarter decision making Association Rule Mining is very useful in the real world. Businesses can use it for product placement in stores, e-commerce companies use it for recommendations, and it helps in cross-selling. It also allows companies to understand customer behavior and increase profits. Slide 7: Algorithm Used Apriori Algorithm – most common Works in two steps: Find frequent itemsets Generate association rules Based on support and confidence thresholds The most popular algorithm for Association Rule Mining is the Apriori Algorithm. It works in two steps: first, it finds frequent itemsets, and then it generates association rules from them. The algorithm uses minimum support and confidence values to select strong rules. Slide 8: Applications Retail: Market Basket Analysis E-commerce: Product recommendations Banking: Credit card + loan patterns Healthcare: Disease prediction Telecommunications: Call pattern analysis Applications of Association Rule Mining are seen in many fields: In retail and supermarkets for market basket analysis. In e-commerce for product recommendations. In banking to find patterns between credit cards and loans. In healthcare to predict diseases. In telecom to analyze customer call patterns. Slide 9: Conclusion Finds relationships in data Uses support, confidence, and lift Apriori Algorithm is commonly used Applications in retail, e-commerce, banking, healthcare Helps businesses make smarter decisions To conclude, Association Rule Mining helps us discover relationships between items in large datasets. It is measured using support, confidence, and lift. The Apriori algorithm is the most commonly used approach. It has applications in many industries like retail, e-commerce, banking, and healthcare. Overall, it is a powerful tool that helps businesses make smarter and more profitable decisions. Thank you for listening!

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Today I want to explain the concept of clustering analysis, which is another important technique in data mining. This method helps us group similar data points together, widely used in customer segmentation and pattern recognition in business applications.

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Desm

Hey want more followers on Instagram right now? Okay listen up. First post reels everyday okay, use trending sounds important. Then comment on big accounts, like thirty comments minimum. Engage engage engage. Follow these steps boom watch your account grow fast.

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Stephen

Want to grow your social media fast heres a quick hack go to trending posts in your niche save the top 10 hashtags create similar content using those tags post 3 times daily for 30 days watch your following explode DM me growth for my free engagement guide

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Iman Inspo

Welcome everyone, to our deep dive into 'Copywriting 101: What Is It and Why It Pays?'

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营销号

推荐一本改变思维方式的好书，看完真的让人豁然开朗。书中说到，人生最大的投资不是房子和股票，而是投资自己。很多人总是在意别人的眼光，却忘了真正重要的是内心的成长。这本书教会我们如何在纷繁世界中找到自己。

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aaaa

क्रिकेट की दुनिया में सबसे ज़्यादा विश्वसनीय भविष्यवाणियाँ कौन करता है? मिलिए 'IPL सेशन किंग' से। यह सिर्फ़ प्रेडिक्शन नहीं, यह एक्सपर्ट एडवाइस है जो आपके देखने का तरीका बदल देगी। ये बादशाह मैच शुरू होने से पहले ही विनर बता देता है। हमारा भाई, IPL Session King, Telegram पर मौजूद है। 🔥 लिंक पर क्लिक करें और आज ही अपनी सीट सुरक्षित करें!

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TOPIK

Hai semuanya, kembali lagi bersama saya di channel AI11. Hari ini kita akan membahas anime terbaru musim ini yang sangat menarik, yaitu "Death Note". Kita akan menganalisis karakter utama dan plot ceritanya yang kompleks.

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يسعى المنتخب المصري للتأهل إلى كأس أمم أفريقيا 2024 ميلادية بقيادة نجمه محمد صلاح، حيث يحتاج الفراعنة للفوز في المباراة القادمة لضمان التأهل المباشر. يمتلك المنتخب سجلاً حافلاً في البطولة برصيد سبعة ألقاب تاريخية.

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看抖音如何借助春节档热点引爆品牌声量。通过与多部热门电影联动，抖音打造沉浸式营销体验，以话题挑战赛形式撬动用户创作积极性，配合平台优惠券投放，实现种草到转化的完美闭环，带动节日消费新高峰。

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看抖音如何借助春节档营销实现破圈传播。通过与热门电影合作，抖音打造了一系列互动话题，配合达人种草带货，完美实现了从内容到转化的闭环。用户自发参与度高，平台活跃度显著提升，实现了品效合一的营销目标。

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对比

保额高达200万元

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Iman Inspo

Welcome everyone, to our deep dive into 'Copywriting 101: What Is It and Why It Pays?'

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1

对比

保额高达200万元

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Welcome everyone, to our deep dive into 'Copywriting 101: What Is It and Why It Pays?'

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保额高达200万元

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The digestive system performs multiple essential functions in the human body, breaking down food into nutrients through mechanical and chemical processes, while also absorbing vital compounds and eliminating waste products through specialized organs.

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levi Fish AudioによるAIボイスジェネレーター

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