Poor data quality is known to compromise the credibility and efficiency of commercial and public endeavours. Also, the importance of managing data quality has increased manifold as the diversity of sources, formats and volume of data grows. This volume targets the data quality in the light of collaborative information systems where data creation and ownership is increasingly difficult to establish.

The14thPaci?c-AsiaConferenceonKnowledgeDiscoveryandData Mining was held in Hyderabad, India during June 21-24, 2010; this was the ?rst time the conference was held in India. PAKDDisamajorinternationalconferenceintheareasofdatamining (DM) and knowledge discovery in databases (KDD). It provides an international - rum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and automatic scienti?c discovery, data visu- ization, causal induction and knowledge-based systems. PAKDD-2010 received 412 research papers from over 34 countries incl- ing: Australia,Austria,Belgium, Canada,China, Cuba, Egypt,Finland, France, Germany, Greece, Hong Kong, India, Iran, Italy, Japan, S. Korea, Malaysia, Mexico,TheNetherlands,NewCaledonia,NewZealand,SanMarino,Singapore, Slovenia,Spain, Switzerland, Taiwan, Thailand, Tunisia, Turkey, UK, USA, and Vietnam. This clearly re?ects the truly international stature of the PAKDD conference. AfteraninitialscreeningofthepapersbytheProgramCommitteeChairs,for papers that did not conform to the submission guidelines or that were deemed not worthy of further reviews, 60 papers were rejected with a brief expla- tion for the decision. The remaining 352 papers were rigorously reviewed by at least three reviewers. The initial results were discussed among the reviewers and ?nally judged by the Program Committee Chairs. In some cases of c- ?ict additional reviews were sought. As a result of the deliberation process, only 42 papers (10.2%) were accepted as long presentations (25 mins), and an ad- tional 55 papers (13.3%) were accepted as short presentations (15 mins). The total acceptance rate was thus about 23.5% across both categories.

Welcome to the proceedings of the 13th International Conference on Database Systems for Advanced Applications (DASFAA 2008) which was held in New Delhi, India. DASFAA 2008 continued the tradition of providing an inter- tional forum for technical discussion among researchers, developers and users of database systems from academia, business and industry. Organizing DASFAA 2008 was a very rewarding experience; it gave us an excellent opportunity to work with many ?ne colleagues both within and outside India. We would like to thank Jayant Haritsa and Ramamohanarao Kotagiri for putting together a world-classProgramCommittee. The committee workedvery hardto bring a high-qualitytechnical programto the conference.DASFAA 2008 also included an industrial track co-chaired by Anand Deshpande and Takeshi Fukuda. The conference also featured three tutorials: (1) Preference Query For- lation and Processing: Ranking and Skyline Query Approaches, by Seung-Won Huang and Wolf-Tilo Balke, (2) Stream Processing: Going Beyond Database Management Systems, by Sharma Chakravarthy, and (3) The Semantic Web: Semantics for Data and Services on the Web, by Vipul Kashyap and Christoph Bussler. We would like to thank S. Sudarshan and Kian-lee Tan for their e?ort in organizing the tutorials, Srinath Srinivasa and Wookey Lee for the panels, Prasan Roy and Anthony Tung for the demos, and Sanjay Chawla and Chee- Yong Chan for the workshops.