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 Paris

Paris, the heart of France, is a city of contrasts. Its grand boulevards lined with elegant cafes and historic buildings coexist with bustling markets and modern art galleries. The Seine River, winding its way through the city, reflects the iconic Eiffel Tower, a symbol of Paris's romantic charm.

The city's history is evident in its architecture, from the Gothic grandeur of Notre-Dame Cathedral to the classical beauty of the Louvre Museum. The Latin Quarter, with its cobblestone streets and student-filled cafes, offers a glimpse into Paris's intellectual heritage.

Beyond its famous landmarks, Paris is a city of neighborhoods, each with its own unique character. The Marais, with its historic houses and trendy boutiques, is a popular destination for both locals and tourists. Montmartre, perched on a hill overlooking the city, is known for its artists' studios and bohemian atmosphere.

Paris is a city of sensory experiences. The aroma of freshly baked croissants fills the air, while the sound of accordion music echoes through the streets. The city's vibrant food scene offers everything from Michelin-starred restaurants to casual bistros.

Whether you're strolling along the Champs-Élysées, exploring the Louvre, or simply people-watching at a sidewalk cafe, Paris is a city that captivates the senses and leaves a lasting impression.

Here are some cool adventures:

Seine River Cruise: Embark on a relaxing cruise along the Seine River, admiring the city's skyline and iconic landmarks from a unique perspective.
Louvre Museum: Immerse yourself in art history at the world-renowned Louvre Museum, home to masterpieces like the Mona Lisa and Venus de Milo. Get lost in its vast galleries and discover treasures from ancient civilizations to Renaissance masterpieces.
Picnic in the Luxembourg Gardens: Pack a picnic basket and enjoy a leisurely afternoon in these beautiful gardens, complete with fountains, statues, and a charming pond.
Montmartre Exploration: Wander through the charming streets of Montmartre, home to artists' studios, the iconic Sacré-Cœur Basilica, and stunning views of the city.
Bike Tour Along the Seine River: Rent a bike and explore Paris's scenic riverbanks, passing iconic landmarks like the Eiffel Tower, Notre-Dame Cathedral, and the Louvre Museum.

Paris to Versailles Private Day Trip (Optional)

Immerse yourself in the grandeur of the Sun King's palace on this exclusive private day trip to Versailles. Journey from the bustling streets of Paris to the opulent halls and meticulously manicured gardens of this UNESCO World Heritage site. With a dedicated private guide and private transport, you'll explore the palace at your own pace, uncovering hidden stories and admiring breathtaking masterpieces.

Itinerary

Morning:

Breakfast: Fuel up with a satisfying breakfast at the hotel.
Pick-up: Your private driver will collect you from your Paris hotel, ensuring a seamless start to your day.
Scenic Drive: Relax and enjoy the picturesque French countryside as you travel to Versailles.
Palace of Versailles: Arrive at the magnificent Palace of Versailles and skip the long lines with your priority access tickets.
Grand Apartments: Marvel at the opulent Hall of Mirrors, the King's and Queen's State Apartments, and other lavish rooms.
Royal Chapel: Admire the stunning religious architecture and intricate details.
Guided Tour: Your expert guide will share fascinating stories and historical insights about the French monarchy and the lives of Louis XIV, Marie Antoinette, and other royal figures.

Afternoon:

Picnic Lunch: Enjoy a delicious picnic lunch in the serene surroundings of the palace gardens.
Palace Gardens: Explore the vast and meticulously landscaped gardens, including the stunning Fountains Show (seasonal).
Trianon Palaces: Visit the smaller and more intimate Trianon Palaces, where Marie Antoinette sought refuge.
Return to Paris: Relax on the return journey to your hotel, reflecting on the unforgettable experiences of the day.

Call for Presentations & Papers

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