最近被导师告知要做数据挖掘方面的东西,于是一窍不通的我硬着头皮学起了数据挖掘。首先便是工具的问题,对一窍不通的我来说选工具实在是个难题,想想还是找个开源的吧。当然这方面的文章很多,开源的数据挖掘工具也很多,比较了半天终于选定了KNIME。 然而
最近被导师告知要做数据挖掘方面的东西,于是一窍不通的我硬着头皮学起了数据挖掘。首先便是工具的问题,对一窍不通的我来说选工具实在是个难题,想想还是找个开源的吧。当然这方面的文章很多,开源的数据挖掘工具也很多,比较了半天终于选定了KNIME。
然而,接下来又是一个头大的问题,这个玩意儿没有中文帮助,好吧,华丽丽的去看英文帮助文档。。。
搞清楚了它的基本工作原理之后便是要把那些节点的功能弄清楚,不然节点的基本功能都没有,如何建模呢?好吧,边学边练。。。
首先是连数据库,因为大部分的数据还是要从数据库读入的。如果只是读入一张表的话,Database Reader就可以了,KNIME自带的是JDBCODBC Driver,我想大家应该都有用windows的管理工具建过数据源吧?是的,就是那个。在Database URL参数下输入那个就行了jdbc:odbc:
但当时我的连接并没有成功,还以为这个参数理解错了,后来才发现该项配置还有一个参数:SQL Statement,其默认值是:SELECT * FROM 或许这并不能算什么问题,但对那些跟我一样刚开始学KNIME的菜鸟们来说还是有点用的吧,呵呵,继续学习中。。。 ,要将
替换成你数据库里的有效表才行,好了,连接成功!

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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