Générateur de Voix IA levi par Fish Audio

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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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Échantillons - levi

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Échantillon 1

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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Stephen

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Aai

सभी रीजनल मैनेजर्स से निवेदन है कि नए क्वार्टरली रिपोर्ट फॉर्मेट को अपडेट करके भेजें। इसमें सेल्स डेटा, क्लाइंट मीटिंग्स और टीम परफॉरमेंस की डिटेल्स शामिल करें। कृपया इसे अगले सप्ताह तक सबमिट करें ताकि मंथली रिव्यू में प्रेजेंट किया जा सके।

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AKRAM

Good morning everyone, I am pleased to present our latest blockchain solution that combines traditional market assets with digital innovation. Our team has developed a unique platform that brings security and transparency to investment opportunities through smart contracts.

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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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Sir Julius

You know what's funny? I just started this new project, and like usual, I'm figuring it out as I go. Well, that's how curiosity works, right? Jump in first, panic later, but somehow end up learning something amazing. That's the Sirles way!

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JACK MA ALIBABA

You know, many people they just complain about problems. But successful people, they see opportunity. When others say impossible, we say possible. Don't wait for tomorrow. Small steps today become big success tomorrow. We must think different.

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商务

李总您好，关于下周的项目进展会议，想跟您确认一下时间。我们准备了详细的季度报告，需要您过目。如果您方便的话，建议定在周三上午，您看可以吗？

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Крипта

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सुन ले भाई, मेरे इलाके में तेरी दादागिरी नहीं चलेगी। यहाँ का हर कोना मेरी निगाह में है। अगर फिर से यहाँ दिखा तो याद रखना, तेरे लिए आखिरी चेतावनी है। समझ में आया या समझाऊं?

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harun sidiki

हेलो गाइज्ड, स्वागत है आपका हमारे यूट्यूब चैनल पर। तो आज हम आपको बताने वाले हैं एक ऐसी जबरदस्त ट्रिक के बारे में जो आपके बहुत काम आएगी। तो वीडियो में एंड तक बने रहिए और अगर आपको वीडियो पसंद आए तो लाइक और सब्सक्राइब जरूर कर देना दोस्तों।

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AKRAM

1

Iman Inspo

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

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1 - Iman Inspo

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

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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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Générateur de Voix IA levi par Fish Audio

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