Join us for an immersive conference exploring the processes, techniques and technologies to efficiently extract valuable insights from massive datasets. This conference will delve into the fundamental concepts and techniques of Mining Massive Datasets (MMD), exploring how to effectively harness the power of big data.

What to Expect:

Fundamental concepts and techniques of data mining and machine learning for massive datasets.

Explore the underlying technologies, algorithms, and tools to extract valuable insights from large-scale data.

Gain hands-on experience in processing, analyzing, and modeling massive datasets.

Networking Opportunities: Connect with like-minded professionals and build valuable relationships with industry leaders.

Key Topics:

Distributed Systems and Frameworks:

Deep dive into HDFS and Cloud Storage for efficient data storage.
Comparative analysis of Apache Spark and Apache Flink for parallel data processing.
Understanding batch and stream processing paradigms.

Data Mining Techniques:

Similarity Search: Mastering minhashing and locality-sensitive hashing for recommendation systems and anomaly detection.
Frequent Itemset Mining: Discovering association rules and market-basket analysis for retail and healthcare.
Clustering: Grouping data points with k-means, hierarchical clustering, and DBSCAN for customer segmentation and image clustering.

Advanced Topics:

Graph Analytics: Unraveling complex relationships with social network analysis and graph mining for fraud detection and knowledge graph construction.
Dimensionality Reduction: Simplifying data with SVD and LSI for text mining and feature engineering.
Machine Learning for Massive Datasets: Scaling machine learning algorithms and leveraging cloud-based platforms.

Why Attend?

Master the Fundamentals: Gain a solid understanding of the core concepts and techniques of data mining and machine learning.
Learn from Experts: Hear from practicing data scientists who are shaping the future of data science.
Gain Expertise: Learn from top experts in the field of machine learning and data engineering.
Stay Ahead of the Curve: Discover the latest trends and advancements.
Network with Industry Leaders: Connect with like-minded professionals and build valuable relationships.
Advance Your Career: Enhance your skills and knowledge to advance your career in data science.

Primary Audience for Conference Attendees

AI and Data Science Professionals:

Data Scientists
AI/Machine Learning Engineers
Data Engineers
AI Researchers
Software Engineers
Product Managers
UX Designers

Business and Leadership Audience:

C-Suite Executives (CEOs, CTOs, CIOs): Leaders who need to understand the strategic implications of big data and data-driven decision-making.
Business Analysts: Professionals who use data to analyze business performance and identify opportunities.
Product Managers: Individuals responsible for developing data-driven products and services.

Investors, Traders and Venture Capitalists:

Investors: Benefit from optimizing investment decision-making processes.
Traders: Benefit from processing, analyzing, and modeling massive datasets.
Venture Capitalists: Professionals who fund early-stage technology companies.

Government and Policymakers:

Government Officials: Policymakers who need to understand the impact of big data on society and regulations.
Data Privacy Officers: Professionals responsible for ensuring data privacy and security.
Regulatory Agencies: Organizations that oversee data usage and compliance.

Other Potential Attendees:

Academics and Researchers: Individuals from universities and research institutions.
Students and Aspiring Data Professionals: Students and early-career professionals interested in learning about big data.
Consultants: Professionals who advise organizations on data strategy and implementation.
Data Journalists: Individuals who use data to tell stories and inform the public.

Main Conference Subject Areas

Scaling Data Processing: Distributed Systems and Frameworks

Distributed File Systems: The Foundation of Big Data

Deep dive into HDFS, Cloud Storage, and their role in storing massive datasets.
Explore the advantages and trade-offs of different storage solutions.

Distributed Processing Frameworks: Unleashing the Power of Parallelism

Comparative analysis of Apache Spark and Apache Flink.
Hands-on demonstrations of real-world data processing pipelines.

Data Processing Paradigms: Batch vs. Stream

Discuss the strengths and weaknesses of batch and stream processing.
Explore hybrid approaches and real-time analytics use cases.

Uncovering Hidden Patterns: Data Mining Techniques

Similarity Search: Finding Your Matches in the Haystack

In-depth exploration of minhashing and locality-sensitive hashing.
Practical applications in recommendation systems and anomaly detection.

Frequent Itemset Mining: Discovering the Rules of the Game

Dive into association rule mining and market-basket analysis.
Learn how to apply these techniques to retail, healthcare, and other domains.

Clustering: Grouping Together What Belongs Together

Explore various clustering algorithms, including k-means, hierarchical clustering, and DBSCAN.
Hands-on exercises in customer segmentation and image clustering.

Advanced Topics in Data Mining and Machine Learning

Graph Analytics: Unraveling Complex Relationships

Social network analysis and graph mining techniques.
Real-world applications in fraud detection and knowledge graph construction.

Dimensionality Reduction: Simplifying the Complex

In-depth discussion of SVD and LSI.
Practical applications in text mining and feature engineering.

Machine Learning for Massive Datasets: Scalable Algorithms and Techniques

Explore scalable machine learning algorithms, including gradient descent and distributed deep learning.
Hands-on experience with cloud-based machine learning platforms.

Experiencing the Heart of Sochi

Discover and explore the "Russian Riviera".

Sochi, a picturesque coastal city nestled between the Black Sea and the Caucasus Mountains, offers a unique blend of natural beauty, cultural attractions, and modern amenities. Renowned for its stunning beaches, world-class skiing, and vibrant atmosphere, Sochi is a popular destination for both domestic and international adventurers. Here are some cool things to experience:

Hike in the Caucasus Mountains: Embark on a hiking adventure through the majestic Caucasus Mountains, which surround Sochi. Enjoy breathtaking views, pristine forests, and the chance to spot wildlife.

Relax on the Black Sea Beaches: Soak up the sun and enjoy the warm waters of the Black Sea. Sochi offers a variety of beaches, from bustling resorts to secluded coves.

Visit Sochi's Attractions: Discover the city's rich history and culture by visiting attractions such as the Sochi Art Museum, the Winter Theater, and the Dendrarium Park.

Experience Winter Sports: Sochi is a popular winter sports destination. Enjoy skiing, snowboarding, or snowshoeing in the nearby ski resorts of Rosa Khutor Alpine Resort in Krasnaya Polyana.

Explore Olympic Park: Visit the stunning Olympic Park, the centerpiece of the 2014 Winter Olympics. Explore the Fisht Olympic Stadium, the Iceberg Skating Palace, and the Sochi Autodrom.

Day Ski/Ride Trip to Rosa Khutor Alpine Resort (Optional)

In winter, enjoy a thrilling day of skiing or snowboarding in the heart of the Caucasus Mountains!

Join us for a full-day excursion to Rosa Khutor Alpine Resort, one of the most popular ski destinations in Russia. Nestled in the breathtaking Krasnaya Polyana region, Rosa Khutor offers a variety of slopes to suit all levels, from beginner to expert.

Itinerary:

Morning: Depart from Sochi and enjoy a scenic drive to Rosa Khutor Alpine Resort.
Day: Spend the day skiing or snowboarding on the resort's world-class slopes. Take advantage of the resort's modern facilities, including ski rental, ski school, and après-ski options.
Evening: Return to Sochi, where you can relax and enjoy the city's nightlife or indulge in a delicious dinner.
What's included:

Round-trip transportation from Sochi
Lift pass for Rosa Khutor Alpine Resort
Professional ski or snowboard instruction (optional)
Price: To be determined.

Heli-Skiing Adventure (Optional)

Experience the ultimate powder skiing adventure with a helicopter tour to remote, pristine snowfields.

Overview

Join us for a thrilling day of heli-skiing in the Krasnaya Polyana Caucasus Mountains. We will fly you to remote, pristine snowfields where you will experience the ultimate powder skiing adventure. Our experienced guides will lead you to the best terrain, ensuring a safe and unforgettable experience.

Itinerary

7:00 AM: Meet in the hotel lobby, ready for the adventure ahead.

7:30 AM: Depart for the heliport, a short drive from the hotel.

8:00 AM: Board the helicopter and take off for the first drop zone.

8:30 AM - 12:00 PM: Experience the thrill of heli-skiing, descending pristine powder slopes with breathtaking mountain views. Enjoy multiple runs, exploring different terrains and challenges.

12:00 PM: Refuel with a hearty lunch, sharing stories and excitement with fellow skiers.

1:00 PM - 3:30 PM: Continue the heli-skiing adventure, tackling fresh powder and enjoying the stunning scenery.

3:30 PM: Return to the heliport, feeling exhilarated and fulfilled after a day of epic powder skiing.

4:30 PM: Arrive back at the hotel, ready to share stories and relive the unforgettable experience over dinner.

Call for Presentations & Papers

We invite submissions for presentations, workshops, and papers on relevant topics. Selected submissions will be featured at the conference.