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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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样本 - levi

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样本 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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Biswadhriti

क्या आप भी दिन भर कंटेंट बना रही हैं पर बैंक बैलेंस नहीं बढ़ रहा? सुनिए, सिर्फ व्यूज से बिजनस नहीं चलता. आपको चाहिए कंवर्जन. जब तक आपकी मैसेजिंग शार्प नहीं होगी, हाई-टिकट क्लाइंट्स नहीं आएंगे. सही स्ट्रैटेजी ही आपको भीड़ से अलग बनाएगी. आज ही शुरू करें.

Default Sample

Imagine ter o poder das maiores IAs do mundo sem gastar um centavo em assinaturas. A Adapta.org reuniu o que há de melhor para você turbinar sua produtividade hoje. Não é mágica, é acesso real e gratuito às versões premium. Clique agora e comece a transformar seu trabalho com inteligência.

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Shabrish

ప్రతి ఒక్క బిజినెస్ ఓనర్ కూడా డిజిటల్ మార్కెటింగ్ మీద ఫోకస్ చేయాలి. ఇన్స్టాగ్రామ్ మరియు ఫేస్బుక్ కేవలం ఎంటర్టైన్మెంట్ కోసం కాదు, అవి మీ బిజినెస్ గ్రోత్ కి చాలా ఇంపార్టెంట్ టూల్స్. కస్టమర్లతో ఎంగేజ్ అవ్వడం మరియు వారి డౌట్స్ కి వెంటనే రిప్లై ఇవ్వడం వల్ల మీ బ్రాండ్ వాల్యూ మరియు క్రెడిబిలిటీ చాలా పెరుగుతుంది.

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Tubeboosterpro

तुम लोग बस देख रहे हो पर कुछ नहीं कर पा रहे हो, ऐसे खाली बैठने से कुछ नहीं होगा। जब मुसीबत सर पर आएगी तब समझ आएगा तेरे को। अभी समझा रहा हूँ तो समझ नहीं आ रहा, गिरने के बाद ही समझ आएगा, ऐसे नहीं समझेगा तू।

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Shabrish

ప్రతి బిజినెస్ ఓనర్ సోషల్ మీడియాను కరెక్ట్‌గా వాడుకోవడం చాలా ముఖ్యం. కేవలం అకౌంట్ ఉంటే సరిపోదు, కస్టమర్ల ప్రశ్నలకు సమాధానాలు ఇస్తూ యాక్టివ్‌గా ఉండాలి. మీరు మంచి సర్వీస్ మరియు కంటెంట్ అందిస్తే, మీ బిజినెస్ ఆటోమేటిక్‌గా గ్రో అవుతుంది. ఇది మీకు ఒక గొప్ప అవకాశం, అస్సలు మిస్ అవ్వకండి.

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MLN

Hey traders, are you ready to learn the big secrets of professional market analysis? In our upcoming masterclass, we're going to show you how the smart money moves, right? You'll discover the powerful strategies that top investors use to spot tremendous opportunities in today's markets.

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Cta niche

Don't miss this game-changing opportunity! Discover how our proven system has helped thousands transform their marketing results overnight. Click now to access your free strategy session - limited spots available. Your success story starts here!

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Kajal

आज की फ़ास्ट-पेस्ड दुनिया में, सिर्फ हार्ड वर्क से काम नहीं चलेगा। अगर आप अपने करियर में सच में ग्रो करना चाहते हैं, तो आपको AI और लेटेस्ट टूल्स में मास्टर बनना होगा। Briwan Academy आपको इंडस्ट्री-रेडी बनाती है ताकि आप हर इंटरव्यू में कॉन्फिडेंट रहें। अपनी सीट अभी बुक करें और फ्यूचर के लिए तैयार हो जाएं।

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5 methids

Today I am going to show you how to start your career online. To be successful, you must focus on building your skills and finding good clients. This will give you the freedom to work from anywhere in the world and finally be your own boss.

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Kajal

अगर आप interview दे रहे हो पर selection नहीं हो रहा, तो इसका कारण है outdated skills। Companies को अब smart AI marketers चाहिए। Briwan Academy आपको modern tools सिखाती है वो भी 100% job guarantee के साथ। सीट्स बहुत limited हैं, अभी click करें और apply करें।

Sample Transcriptions

Default Sample - 样本 1

Default Sample - Biswadhriti

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Default Sample - Shabrish

Default Sample - Tubeboosterpro

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Default Sample - Kajal

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Default Sample - Kajal

आजकल सिर्फ डिग्री काफी नहीं है, क्योंकि मार्केट बदल रहा है। अगर आप पुरानी स्किल्स लेकर जॉब ढूंढोगे, तो रिजेक्शन ही मिलेगा। Briwan Academy के AI कोर्स से आप अपनी प्रोडक्टिविटी बढ़ाकर करियर सिक्योर कर सकते हो। सीट्स लिमिटेड हैं, तो नीचे दिए लिंक पर क्लिक करके अभी अप्लाई करो।

Default Sample - Seema

आज के टाइम में सिर्फ मेहनत से काम नहीं चलेगा, आपको स्मार्ट बनना पड़ेगा। कंपनियां अब उन्हीं को हायर कर रही हैं जो AI टूल्स के साथ बेहतर रिज़ल्ट्स देते हैं। अगर आप भी अपना करियर सिक्योर करना चाहते हैं, तो ब्रिवन एकेडमी जॉइन करें। जल्दी कीजिये, सीटें लिमिटेड हैं।

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levi AI 语音生成器，由 Fish Audio 提供

levi

样本 - levi

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样本 1

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如何使用 levi 语音生成器

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levi