Binary Search Tree
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The document discusses binary search trees, including their definition as a binary tree where all left descendants of a node are less than the node and all right descendants are greater. It describes how to search a binary search tree by comparing values to the root node and recursively searching left or right. The time complexity of search, insertion, and deletion in binary search trees is O(log n) on average and O(n) worst case. Binary search trees have applications in databases, sorting, and memory management.
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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Columbus Data & Analytics Wednesdays - June 2024
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Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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Binary Search Tree
- 2. We’ll discuss the following Content today: Binary Search Tree Definition Properties of Binary Tree How to search a binary search tree? • Pseudo code • Complexities • Examples • Resources
- 3. Binary Search Tree Definition • The Binary Tree is a Tree. In which every parent node have maximum two child nodes. • A Binary Search Tree is a variation of Binary Search Tree. The values in the Binary Search tree can be stored in the specific sequence. • It is called a search tree because it can be used to search for the presence of a number in O(Log(n) times. • A Binary Search Tree is an ordered tree. • There is no permission for duplicate nodes.
- 4. Properties of Binary Search Tree The properties that separate a binary search tree from a regular binary tree is: • All nodes of left sub tree are less than the root node. • All nodes of right sub tree are more than the root node. • Both sub trees of each node are also BSTs i.e. they have the above two properties. 8 6 5 9 10 7 Root
- 5. Properties of Binary Search Tree 8 3 1 6 4 8 3 1 6 2 The binary tree on the right side isn't a binary search tree because the right subtree of the node "3" contains a value
- 6. How to search a binary search tree? 17 15 18 6 3 7 13 13 4 9 20 Root (1) Start at the root (2) Compare the value of the item you are searching for with the value stored at the root (3) If the values are equal, then item found; otherwise, if it is a leaf node, then not found. (4) If it is less than the value stored at the root, then search the left sub tree. (5) If it is greater than the value stored at the root, then search the right sub tree. (6) Repeat steps 2-6 for the root of the sub tree chosen in the previous step 4 or 5. Compare 9 with 15 Compare 9 with 6 Compare 9 with 7 Compare 9 with 13 Compare 9 with 9 Is this better than searching a linked list? Yes !! ---> O(logN)
- 7. Time Complexities Operation Best Case Complexity Average Case Complexity Worst Case Complexity Search O(log n) O(log n) O(n) Insertion O(log n) O(log n) O(n) Deletion O(log n) O(log n) O(n) Space Complexity The space complexity for all the operations is O(n). Note: Here, n is the number of nodes in the tree.
- 8. Applications • In multilevel indexing in the database • For dynamic sorting • For managing virtual memory areas in Unix kernel
- 9. • https://www.programiz.com/dsa/binary-search-tree • https://en.wikipedia.org/wiki/Binary_search_tree • https://www.upgrad.com/blog/difference-between- binary-tree-and-binary-search-tree/ Resources
- 10. Thanks