A Survey on Location Based Services in Data Mining

Data privacy has been the primary concern since the distributed database came into the picture. More than two parties have to compile their data for data mining process without revealing to the other parties. Continuous advancement in mobile networks and positioning technologies have created a strong challenge for location-based applications. Challenges resembling location-aware emergency response, location-based advertisement, and location-based entertainment. Privacy protection in pervasive environments has attracted great interests in recent years. Two kinds of privacy issues, location privacy and query privacy, are threatening the security of the users. The novel combined clustering algorithm for protecting location privacy and query privacy, namely ECC, is discussed. ECC applies an iterative K-means clustering method to group the user requests into clusters for providing location safety while utilizing a hierarchical clustering method for preserving the query privacy.