Data cleansing

Abstract Data cleansing is an issue with very critical importance in data mining. It helps in preserving the quality of data used for data mining. An important sub task of data cleansing is duplicate detection. Duplication occurs when some real world object has multiple representations in data source. A lots of work has been done in duplicate detection in structured data such as relational database. But it is just a recently that the focus has been given on duplicate detection in hierarchical and

Selecting and creating data set from sources like data warehouse, transactional data or flat tables. This step is considered crucial because it is considered as base for constructing models. The entire study may fail if any of the important attributes are missed. After getting started with the best available data set, the techniques of knowledge discovery and modelling are applied vigorously. Pre-processing and cleansing: Data is made reliable during this stage. Include mechanisms such as removing

Data Transformation are often very complex and is the most costly section of the ETL process. Transformations are often achieved outside the database using flat files, but mostly occurs within an Oracle database. The transform step applies rules or functions to the extracted data. These rules or functions will decide on the analysis of data and can involve transformations like the following: • Data Summations • Data Merging • Data Encoding • Data Splitting • Data Calculations • Creating Surrogate

3.1 Introduction High-quality data facilitate a precise analysis and the resulting statistics. Hence, high-quality data assist the organization to increase its business value. This chapter demonstrates the concept of data quality, the effects of inaccurate data, and the factors that cause low-quality data. 3.2 Data Quality The executive and the top management in organizations seek comprehensive reports and dashboards to enable them to understand on going processes and facilitate the decision- making

Principles of Data Quality There are many principles for the data quality that ensure the data quality for the data entered to a database. The most significant principles for the data quality include: 1- The Vision 2- The Policy 3- The Strategy 4- The collector has primary responsibility 5- User responsibility 6- Consistency 7- Transparency 8- Outliers The Vision It is very important for the big organization to get a high vision for their data and its quality especially when the same data will be shared

2.1.1.1 The volume of data Volume is often regarded as the primary attribute of big data. With that in mind, a large number of people define big data in terabytes—sometimes petabytes, but big data can also be quantified by counting records, transactions, tables, or files (Russom, 2011). Volume refers to the mass quantities of data that organizations are trying to harness to improve decision-making across the enterprise (Schroeck et al., 2012). The volumes of data have continued to increase at an

In his book Forgotten Fire, author Adam Bagdasarian investigates the Armenian Genocide through the eyes of a twelve year old Armenian boy named Vahan Kenderian. Through Vahan, the reader experiences the atrocities committed during the 1915 genocide of Armenians in Turkey. The Turks, who were Muslim, viewed the Christian Armenians as inferiors and treated them as such; under Turkish law, Armenians had nearly no rights, no fair justice in Turkish courts, could not bear arms, and were taxed far higher

The Holocaust Holocaust is a Greek word that means “sacrifice by fire” and this was a theme which the Nazis used against the Jewish population after they came in power in January of 1933. Jews were not the only race that were targeted during this period. The Gypsies, the disabled, the Poles, homosexuals, Jehovah’s Witnesses, and also the Russians were also part of the different groups that were targeted by the Nazis when their reign began in 1933. The Jews endured the most impact of the Holocaust

Throughout part 4 of the course, we have learned about cultures or groups of people and their place in society. We have seen how they are identified, categorized based on their race or ethnicity, as well as other factors, and how that has affected them and the negative things that have resulted from that. There are many things that can be used to identify a culture or a group of people, as well as an individual. Identification is what distinguishes you from others. For example, when I was helping

chemical processes that take place in the body involve one or the other form of detoxification. Many medics, natural health practitioners and nutritionists recommend colon detoxification as a critical step in ensuring good health and wellbeing. The cleansing process will cleanse your body of toxins, making easy for the body to free up space and enhance the rte of nutrient absorption from food. Once you have gone through a detox program, you can the following detox promoting tips to ensure you live a