The document discusses different sorting algorithms:
1) Linear search is used to search for a key in an unsorted list by checking each element sequentially until a match is found or the whole list has been searched.
2) Binary search improves on linear search by only checking the middle element and then narrowing the search space to the upper or lower half.
3) Insertion sort iterates through the list and inserts each element into the sorted portion, building up the sorted list one element at a time.
4) Bubble sort iterates through adjacent elements and swaps them if out of order, repeating until the list is fully sorted.
The document discusses the basics of C programming language including compiling and running a C program, the structure of a C program, and basic C programming concepts like variables, data types, input/output functions, and conditional and looping statements. It provides examples of simple C programs to calculate the sum and area of shapes, and to input and output a date. The key functions discussed are printf() for output, scanf() for input, and getchar() to read a character. Basic C program elements like preprocessing directives, main function, and data types are also covered.
The document discusses different sorting algorithms:
1) Linear search is used to search for a key in an unsorted list by checking each element sequentially until a match is found or the whole list has been searched.
2) Binary search improves on linear search by only checking the middle element and then narrowing the search space to the upper or lower half.
3) Insertion sort iterates through the list and inserts each element into the sorted portion, building up the sorted list one element at a time.
4) Bubble sort iterates through adjacent elements and swaps them if out of order, repeating until the list is fully sorted.
The document discusses the basics of C programming language including compiling and running a C program, the structure of a C program, and basic C programming concepts like variables, data types, input/output functions, and conditional and looping statements. It provides examples of simple C programs to calculate the sum and area of shapes, and to input and output a date. The key functions discussed are printf() for output, scanf() for input, and getchar() to read a character. Basic C program elements like preprocessing directives, main function, and data types are also covered.
This document discusses functions in C programming. It defines built-in functions as pre-defined subprograms in the C language compiler, and user-defined functions as those created by the programmer. Examples are given of programs using built-in functions like scanf(), printf(), and strcpy(), as well as user-defined functions with passing arguments by value and reference. The last section provides contact details for Baabtra Mentoring Partner.
Pharmalink Affiliate Network provides regulatory affairs expertise around the world. They have a network of leading local consultants covering every market who can help clients with regulatory intelligence gathering, product registration, and post-marketing activities. Their consultants understand local cultures and ensure client requirements are met in a time and cost-effective manner. Pharmalink has affiliates across Europe, Africa, Eastern Europe, Asia Pacific, North America, Latin America, and the Middle East/North Africa that provide regulatory assistance wherever clients need it.
This document discusses data types in C programming. It introduces the four basic data types - integer, float, char, and void. Integer is used for whole numbers, float for numbers with decimals, char for single characters, and void for functions without return values. Variables must be declared with a data type before use. Standard input and output functions like scanf and printf are demonstrated for getting user input and displaying output.
Yisou is a team at Creditease, focusing on bigdata technology usage in risk management domain. This PPT describes our products and how we accomplish all these
Wrapper induction construct wrappers automatically to extract information f...George Ang
Wrapper induction is a technique to automatically generate wrappers to extract information from web sources. It involves learning extraction rules from labeled examples to construct a wrapper as a finite state machine or set of delimiters. Two main wrapper induction systems are WIEN, which defines wrapper classes including LR, and STALKER, which uses a more expressive model with extraction rules and landmarks to handle structure hierarchically. Remaining challenges include selecting informative examples, generating label pages automatically, and developing more expressive models.
This document summarizes a tutorial given by Bing Liu on opinion mining and summarization. The tutorial covered several key topics in opinion mining including sentiment classification at the document and sentence level, feature-based opinion mining and summarization, comparative sentence extraction, and opinion spam detection. The tutorial provided an overview of the field of opinion mining and abstraction as well as summaries of various approaches to tasks such as sentiment classification using machine learning methods and feature scoring.
The document provides an overview of Huffman coding, a lossless data compression algorithm. It begins with a simple example to illustrate the basic idea of assigning shorter codes to more frequent symbols. It then defines key terms like entropy and describes the Huffman coding algorithm, which constructs an optimal prefix code from the frequency of symbols in the data. The document discusses how the algorithm works, its advantages in achieving compression close to the source entropy, and some limitations. It also covers applications of Huffman coding like image compression.
Do not crawl in the dust different ur ls similar textGeorge Ang
The document describes the DustBuster algorithm for discovering DUST rules - rules that transform one URL into another URL that contains similar content. The algorithm takes as input a list of URLs from a website and finds valid DUST rules without requiring any page fetches. It detects likely DUST rules based on a large support principle and small buckets principle. It then eliminates redundant rules and validates the remaining rules using a sample of URLs to identify rules that transform URLs with similar content. Experimental results on logs from two websites show that DustBuster is able to discover DUST rules that can help improve crawling efficiency.
The document discusses techniques for optimizing front-end web performance. It provides examples of how much time is spent loading different parts of top websites, both with empty caches and full caches. The "performance golden rule" is that 80-90% of end-user response time is spent on the front-end. The document also outlines Yahoo's 14 rules for performance optimization, which include making fewer HTTP requests, using content delivery networks, adding Expires headers, gzipping components, script and CSS placement, and more.