levi Fish AudioによるAIボイスジェネレーター

5回使用され0件のいいねがあるleviボイスを生成します。AIテキスト読み上げでhigh-qualityのスピーチを作成します。

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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サンプル 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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Neel Voice

DNA is another unique identifier in humans, containing billions of base pairs that create our genetic code. This molecular pattern acts like a biological blueprint, determining our traits and helping scientists understand hereditary characteristics.

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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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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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数据

第四个问题是关于数据加密方面的问题。为了保证通信的安全性，必须采用加密算法。加密的主要内容包括对称加密和非对称加密这两个基本方面。

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Buy and sell

Hello there! Just wanted to update you about your order status. The package is ready for shipment, and I'd love to get your confirmation to proceed. Your satisfaction is my priority, and I'm excited about our potential long-term business relationship.

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alix

नमस्कार दोस्तों, आज मैं आपको बताऊंगा म्यूचुअल फंड्स के बारे में। क्या आप जानते हैं कि लॉन्ग टर्म इन्वेस्टमेंट में म्यूचुअल फंड्स कितने फायदेमंद हो सकते हैं? आइए समझते हैं इसके बारे में विस्तार से।

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Ask Alpha

Notice the double bottom pattern forming right at the key support level. Volume surged during the breakout, confirming strong bullish momentum. The price successfully retested the neckline, signaling a major trend reversal is underway. Did you spot this entry? Tell me in the comments and follow for daily analysis.

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Sumit 1111

नमस्कार दोस्तों, आज मैं आपको बताऊंगा कि अपने मोबाइल की बैटरी कैसे बचाएं। कुछ छोटी सेटिंग्स से आप अपनी बैटरी लाइफ डबल कर सकते हैं। चलिए जानते हैं इन सेटिंग्स के बारे में। अगर विडियो पसंद आए तो लाइक और शेयर जरूर करें।

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voice tag

At Stamic IBTC Bank, we're introducing new digital payment solutions to enhance our customer experience. Our mobile banking platform now features improved security protocols, seamless fund transfers, and integrated bill payment services, ensuring convenience for all our customers.

第四个问题是关于数据加密方面的问题。为了保证通信的安全性，必须采用加密算法。加密的主要内容包括对称加密和非对称加密这两个基本方面。

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Buy and sell

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alix

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Ask Alpha

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Sumit 1111

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voice tag

Sample Transcriptions

Default Sample - サンプル 1

Default Sample - Neel Voice

Default Sample - Aai

Default Sample - AKRAM

Default Sample - JACK MA ALIBABA

Default Sample - 数据

第四个问题是关于数据加密方面的问题。为了保证通信的安全性，必须采用加密算法。加密的主要内容包括对称加密和非对称加密这两个基本方面。

Default Sample - Buy and sell

Default Sample - alix

Default Sample - Ask Alpha

Default Sample - Sumit 1111

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Default Sample - 0128营销

数学考试必备公式口诀来啦！三角函数解题技巧，记住这个口诀就够了：正弦余弦公式套，特殊角度要记牢。配合这张公式表，题目做起来超简单。想要更多解题技巧的同学，赶紧来看详细讲解视频吧！

Default Sample - 广告

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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levi Fish AudioによるAIボイスジェネレーター

levi

サンプル - levi

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