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Note: Links lead to the DBLP on the Web. Heikki Mannila Aristides Gionis , Heikki Mannila, Panayiotis Tsaparas : Clustering Aggregation. ICDE 2005 : 341-352 Marko Salmenkivi , Heikki Mannila: Piecewise Constant Modeling of Sequential Data Using Reversible Jump Markov Chain Monte Carlo. Data Mining in Bioinformatics 2005 : 85-103 Marko Salmenkivi , Heikki Mannila: Using Markov chain Monte Carlo and dynamic programming for event sequence data. Knowl. Inf. Syst. 7 (3): 267-288 (2005) Mikko Koivisto , Teemu Kivioja , Heikki Mannila, Pasi Rastas , Esko Ukkonen : Hidden Markov Modelling Techniques for Haplotype Analysis. ALT 2004 : 37-52 Foto N. Afrati , Aristides Gionis , Heikki Mannila: Approximating a collection of frequent sets. KDD 2004 : 12-19 Jouni K. Seppänen , Heikki Mannila: Dense itemsets. KDD 2004 : 683-688 Aristides Gionis , Heikki Mannila, Jouni K. Seppänen : Geometric and Combinatorial Tiles in 0-1 Data. PKDD 2004 : 173-184 Floris Geerts , Heikki Mannila, Evimaria Terzi : Relational link-based ranking. VLDB 2004 : 552-563 Usama M. Fayyad , Heikki Mannila, Raghu Ramakrishnan : Editorial. Data Min. Knowl. Discov. 8 (1): 5-6 (2004) Usama M. Fayyad , Heikki Mannila, Raghu Ramakrishnan : Editorial. Data Min. Knowl. Discov. 8 (2): 95-96 (2004) Aristides Gionis , Teija Kujala , Heikki Mannila: Fragments of order. KDD 2003 : 129-136 Antti Leino , Heikki Mannila, Ritva Liisa Pitkänen : Rule Discovery and Probabilistic Modeling for Onomastic Data. PKDD 2003 : 291-302 Taneli Mielikäinen , Heikki Mannila: The Pattern Ordering Problem. PKDD 2003 : 327-338 Jouni K. Seppänen , Ella Bingham , Heikki Mannila: A Simple Algorithm for Topic Identification in 0-1 Data. PKDD 2003 : 423-434 Mikko Koivisto , Markus Perola , T. Varilo , W. Hennah , J. Ekelund , M. Lukk , L. Peltonen , Esko Ukkonen , Heikki Mannila: An MDL Method for Finding Haplotype Blocks and for Estimating the Strength of Haplotype Block Boundaries. Pacific Symposium on Biocomputing 2003 : 502-513 Aristides Gionis , Heikki Mannila: Finding recurrent sources in sequences. RECOMB 2003 : 123-130 Jaakko Hollmén , Jouni K. Seppänen , Heikki Mannila: Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data. SDM 2003 Dimitrios Gunopulos , Roni Khardon , Heikki Mannila, Sanjeev Saluja , Hannu Toivonen , Ram Sewak Sharm : Discovering all most specific sentences. ACM Trans. Database Syst. 28 (2): 140-174 (2003) Dmitry Pavlov , Heikki Mannila, Padhraic Smyth : Beyond Independence: Probabilistic Models for Query Approximation on Binary Transaction Data. IEEE Trans. Knowl. Data Eng. 15 (6): 1409-1421 (2003) Robert L. Grossman , Jiawei Han , Vipin Kumar , Heikki Mannila, Rajeev Motwani : Proceedings of the Second SIAM International Conference on Data Mining, Arlington, VA, USA, April 11-13, 2002 SIAM 2002 Tapio Elomaa , Heikki Mannila, Hannu Toivonen : Machine Learning: ECML 2002, 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002, Proceedings Springer 2002 Tapio Elomaa , Heikki Mannila, Hannu Toivonen : Principles of Data Mining and Knowledge Discovery, 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002, Proceedings Springer 2002 Marko Salmenkivi , Juha Kere , Heikki Mannila: Genome segmentation using piecewise constant intensity models and reversible jump MCMC. ECCB 2002 : 211-218 Heikki Mannila: Local and Global Methods in Data Mining: Basic Techniques and Open Problems. ICALP 2002 : 57-68 Carson Kai-Sang Leung , Raymond T. Ng , Heikki Mannila: OSSM: A Segmentation Approach to Optimize Frequency Counting. ICDE 2002 : 583-592 Luc De Raedt , Manfred Jaeger , Sau Dan Lee , Heikki Mannila: A Theory of Inductive Query Answering. ICDM 2002 : 123-130 Ella Bingham , Heikki Mannila, Jouni K. Seppänen : Topics in 0--1 data. KDD 2002 : 450-455 Heikki Mannila: Combining Pattern Discovery and Probabilistic Modeling in Data Mining. SWAT 2002 : 19 Heikki Mannila, Anne Patrikainen , Jouni K. Seppänen , Juha Kere : Long-range control of expression in yeast. Bioinformatics 18 (3): 482-483 (2002) Jiawei Han , Russ B. Altman , Vipin Kumar , Heikki Mannila, Daryl Pregibon : Emerging scientific applications in data mining. Commun. ACM 45 (8): 54-58 (2002) Heikki Mannila: Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining. ECML 2001 : 601 Johan Himberg , Kalle Korpiaho , Heikki Mannila, Johanna Tikanmäki , Hannu Toivonen : Time Series Segmentation for Context Recognition in Mobile Devices. ICDM 2001 : 203-210 Ella Bingham , Heikki Mannila: Random projection in dimensionality reduction: applications to image and text data. KDD 2001 : 245-250 Heikki Mannila, Marko Salmenkivi : Finding simple intensity descriptions from event sequence data. KDD 2001 : 341-346 Igor V. Cadez , Padhraic Smyth , Heikki Mannila: Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction. KDD 2001 : 37-46 Heikki Mannila: Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining. PKDD 2001 : 493 Béla Bollobás , Gautam Das , Dimitrios Gunopulos , Heikki Mannila: Time-Series Similarity Problems and Well-Separated Geometric Sets. Nord. J. Comput. 8 (4): 409-423 (2001) Hannu Toivonen , Paivi Onkamo , Kari Vasko , Vesa Ollikainen , Petteri Sevon , Heikki Mannila, Juha Kere : Gene Mapping by Haplotype Pattern Mining. BIBE 2000 : 99-108 Heikki Mannila, Padhraic Smyth : Approximate Query Answering with Frequent Sets and Maximum Entropy. ICDE 2000 : 309 Heikki Mannila, Christopher Meek : Global partial orders from sequential data. KDD 2000 : 161-168 Gautam Das , Heikki Mannila: Context-Based Similarity Measures for Categorical Databases. PKDD 2000 : 201-210 Dmitry Pavlov , Heikki Mannila, Padhraic Smyth : Probabilistic Models for Query Approximation with Large Sparse Binary Data Sets. UAI 2000 : 465-472 Heikki Mannila: Theoretical Frameworks for Data Mining. SIGKDD Explorations 1 (2): 30-32 (2000) Heikki Mannila, Pirjo Moen : Similarity between Event Types in Sequences. DaWaK 1999 : 271-280 Jean-François Boulicaut , Mika Klemettinen , Heikki Mannila: Modeling KDD Processes within the Inductive Database Framework. DaWaK 1999 : 293-302 Heikki Mannila: Inductive Databases (Abstract). ILP 1999 : 14 Heikki Mannila, Dmitry Pavlov , Padhraic Smyth : Prediction with Local Patterns using Cross-Entropy. KDD 1999 : 357-361 Mika Klemettinen , Heikki Mannila, A. Inkeri Verkamo : Association Rule Selection in a Data Mining Environment. PKDD 1999 : 372-377 Roni Khardon , Heikki Mannila, Dan Roth : Reasoning with Examples: Propositional Formulae and Database Dependencies. Acta Inf. 36 (4): 267-286 (1999) Mika Klemettinen , Heikki Mannila, Hannu Toivonen : Interactive exploration of interesting findings in the Telecommunication Network Alarm Sequence Analyzer (TASA). Information & Software Technology 41 (9): 557-567 (1999) Yonatan Aumann , Ronen Feldman , Orly Liphstat , Heikki Mannila: Borders: An Efficient Algorithm for Association Generation in Dynamic Databases. J. Intell. Inf. Syst. 12 (1): 61-73 (1999) Mika Klemettinen , Heikki Mannila, Hannu Toivonen : Rule Discovery in Telecommunication Alarm Data. J. Networks Syst. Manage. 7 (4): (1999) Heikki Mannila, Hannu Toivonen , Atte Korhola , Heikki Olander : Learning, Mining, or Modeling? A Case Study from Paleocology. Discovery Science 1998 : 12-24 Gautam Das , King-Ip Lin , Heikki Mannila, Gopal Renganathan , Padhraic Smyth : Rule Discovery from Time Series. KDD 1998 : 16-22 Gautam Das , Heikki Mannila, Pirjo Ronkainen : Similarity of Attributes by External Probes. KDD 1998 : 23-29 Jean-François Boulicaut , Mika Klemettinen , Heikki Mannila: Querying Inductive Databases: A Case Study on the MINE RULE Operator. PKDD 1998 : 194-202 David Heckerman , Heikki Mannila, Daryl Pregibon : Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), Newport Beach, California, USA, August 14-17, 1997 AAAI Press 1997 Mika Klemettinen , Heikki Mannila, Hannu Toivonen : A Data Mining Methodology and Its Application to Semi-automatic Knowledge Acquisition. DEXA Workshop 1997 : 670-677 Ronen Feldman , Yonatan Aumann , Amihood Amir , Heikki Mannila: Efficient Algorithms for Discovering Frequent Sets in Incremental Databases. DMKD 1997 : 0- Dimitrios Gunopulos , Heikki Mannila, Sanjeev Saluja : Discovering All Most Specific Sentences by Randomized Algorithms. ICDT 1997 : 215-229 Heikki Mannila: Methods and Problems in Data Mining. ICDT 1997 : 41-55 Heikki Mannila: Inductive Databases and Condensed Representations for Data Mining. ILPS 1997 : 21-30 Gautam Das , Dimitrios Gunopulos , Heikki Mannila: Finding Similar Time Series. PKDD 1997 : 88-100 Dimitrios Gunopulos , Roni Khardon , Heikki Mannila, Hannu Toivonen : Data mining, Hypergraph Transversals, and Machine Learning. PODS 1997 : 209-216 Béla Bollobás , Gautam Das , Dimitrios Gunopulos , Heikki Mannila: Time-Series Similarity Problems and Well-Separated Geometric Sets. Symposium on Computational Geometry 1997 : 454-456 Heikki Mannila, Pirjo Ronkainen : Similarity of Event Sequences. TIME 1997 : 136-139 Thomas Eiter , Georg Gottlob , Heikki Mannila: Disjunctive Datalog. ACM Trans. Database Syst. 22 (3): 364-418 (1997) Thomas Eiter , Heikki Mannila: Distance Measures for Point Sets and their Computation. Acta Inf. 34 (2): 109-133 (1997) Heikki Mannila, Hannu Toivonen : Levelwise Search and Borders of Theories in Knowledge Discovery. Data Min. Knowl. Discov. 1 (3): 241-258 (1997) Heikki Mannila, Hannu Toivonen , A. Inkeri Verkamo : Discovery of Frequent Episodes in Event Sequences. Data Min. Knowl. Discov. 1 (3): 259-289 (1997) Heikki Mannila: Schema Design and Knowledge Discovery (Abstract). ER 1996 : 27 Kimmo Hätönen , Mika Klemettinen , Heikki Mannila, Pirjo Ronkainen , Hannu Toivonen : Knowledge Discovery from Telecommunication Network Alarm Databases. ICDE 1996 : 115-122 Heikki Mannila: Data Mining and Machine Learning (Abstract). ICML 1996 : 555 Heikki Mannila, Hannu Toivonen : Discovering Generalized Episodes Using Minimal Occurrences. KDD 1996 : 146-151 Heikki Mannila, Hannu Toivonen : Multiple Uses of Frequent Sets and Condensed Representations (Extended Abstract). KDD 1996 : 189-194 Heikki Mannila: Data Mining: Machine Learning, Statistics, and Databases. SSDBM 1996 : 2-9 Rakesh Agrawal , Heikki Mannila, Ramakrishnan Srikant , Hannu Toivonen , A. Inkeri Verkamo : Fast Discovery of Association Rules. Advances in Knowledge Discovery and Data Mining 1996 : 307-328 Tomasz Imielinski , Heikki Mannila: A Database Perspective on Knowledge Discovery. Commun. ACM 39 (11): 58-64 (1996) Pekka Kilpeläinen , Heikki Mannila, Esko Ukkonen : MDL learning of unions of simple pattern languages from positive examples. EuroCOLT 1995 : 252-260 Heikki Mannila: Aspects of Knowledge Discovery and Data Mining. Grundlagen von Datenbanken 1995 : 1-6 Marcel Holsheimer , Martin L. Kersten , Heikki Mannila, Hannu Toivonen : A Perspective on Databases and Data Mining. KDD 1995 : 150-155 Heikki Mannila, Hannu Toivonen , A. Inkeri Verkamo : Discovering Frequent Episodes in Sequences. KDD 1995 : 210-215 Thomas Eiter , Pekka Kilpeläinen , Heikki Mannila: Recognizing Renamable Generalized Propositional Horn Formulas Is NP-complete. Discrete Applied Mathematics 59 (1): 23-31 (1995) Pekka Kilpeläinen , Heikki Mannila: Ordered and Unordered Tree Inclusion. SIAM J. Comput. 24 (2): 340-356 (1995) Jyrki Kivinen , Heikki Mannila: Approximate Inference of Functional Dependencies from Relations. Theor. Comput. Sci. 149 (1): 129-149 (1995) Mika Klemettinen , Heikki Mannila, Pirjo Ronkainen , Hannu Toivonen , A. Inkeri Verkamo : Finding Interesting Rules from Large Sets of Discovered Association Rules. CIKM 1994 : 401-407 Pekka Kilpeläinen , Heikki Mannila: Query Primitives for Tree-Structured Data. CPM 1994 : 213-225 Jyrki Kivinen , Heikki Mannila, Esko Ukkonen , Jaak Vilo : An ALgorithm for Learning Hierarchical Classifiers. ECML 1994 : 375-378 Thomas Eiter , Georg Gottlob , Heikki Mannila: Disjunctive Logic Programming over Finite Structures. GI Jahrestagung 1994 : 69-73 Helena Ahonen , Heikki Mannila, Erja Nikunen : Forming Grammars for Structured Documents: an Application of Grammatical Inference. ICGI 1994 : 153-167 Thomas Eiter , Georg Gottlob , Heikki Mannila: Expressive Power and Complexity of Disjunctive Datalog under the Stable Model Semantics. IS/KI 1994 : 83-103 Heikki Mannila, Hannu Toivonen , A. Inkeri Verkamo : Efficient Algorithms for Discovering Association Rules. KDD Workshop 1994 : 181-192 Thomas Eiter , Georg Gottlob , Heikki Mannila: Adding Disjunction to Datalog. PODS 1994 : 267-278 Jyrki Kivinen , Heikki Mannila: The Power of Sampling in Knowledge Discovery. PODS 1994 : 77-85 Heikki Mannila, Kari-Jouko Räihä : Algorithms for Inferring Functional Dependencies from Relations. Data Knowl. Eng. 12 (1): 83-99 (1994) Pekka Kilpeläinen , Heikki Mannila: Retrieval from Hierarchical Texts by Partial Patterns. SIGIR 1993 : 214-222 Vladimir Estivill-Castro , Heikki Mannila, Derick Wood : Right Invariant Metrics and Measures of Presortedness. Discrete Applied Mathematics 42 (1): 1-16 (1993) Heikki Mannila, Kari-Jouko Räihä : Design of Relational Databases Addison-Wesley 1992 Jyrki Kivinen , Heikki Mannila, Esko Ukkonen : Learning Hierarchical Rule Sets. COLT 1992 : 37-44 Pekka Kilpeläinen , Heikki Mannila: Grammatical Tree Matching. CPM 1992 : 162-174 Jyrki Kivinen , Heikki Mannila: Approximate Dependency Inference from Relations. ICDT 1992 : 86-98 Heikki Mannila, Kari-Jouko Räihä : On the Complexity of Inferring Functional Dependencies. Discrete Applied Mathematics 40 (2): 237-243 (1992) Pekka Kilpeläinen , Heikki Mannila: The Tree Inclusion Problem. TAPSOFT, Vol.1 1991 : 202-214 Pekka Kilpeläinen , Heikki Mannila: Generation of test cases for simple prolog programs. Acta Cybern. 9 (3): 235-246 (1990) Heikki Mannila, Esko Ukkonen : Unifications, Deunifications, and Their Complexity. BIT 30 (4): 599-619 (1990) Heikki Mannila, Kari-Jouko Räihä : Practical Algorithms for Finding Prime Attributes and Testing Normal Forms. PODS 1989 : 128-133 Heikki Mannila, Kari-Jouko Räihä : Automatic Generation of Test Data for Relational Queries. J. Comput. Syst. Sci. 38 (2): 240-258 (1989) Heikki Mannila, Esko Ukkonen : Time Parameter and Arbitrary Deunions in the Set Union Problem. SWAT 1988 : 34-42 Heikki Mannila, Esko Ukkonen : Flow Analysis of Prolog Programs. SLP 1987 : 205-214 Heikki Mannila, Kari-Jouko Räihä : Dependency Inference. VLDB 1987 : 155-158 Heikki Mannila, Esko Ukkonen : The Set Union Problem with Backtracking. ICALP 1986 : 236-243 Heikki Mannila, Kari-Jouko Räihä : Inclusion Dependencies in Database Design. ICDE 1986 : 713-718 Heikki Mannila, Esko Ukkonen : On the Complexity of Unification Sequences. ICLP 1986 : 122-133 Heikki Mannila, Kari-Jouko Räihä : Test Data for Relational Queries. PODS 1986 : 217-223 Heikki Mannila, Esko Ukkonen : Timestamped Term Representation for Implementing Prolog. SLP 1986 : 159-165 Heikki Mannila, Kari-Jouko Räihä : Design by Example: An Application of Armstrong Relations. J. Comput. Syst. Sci. 33 (2): 126-141 (1986) Heikki Mannila, Kari-Jouko Räihä : Small Armstrong Relations for Database Design. PODS 1985 : 245-250 Heikki Mannila: Measures of Presortedness and Optimal Sorting Algorithms. IEEE Trans. Computers 34 (4): 318-325 (1985) Heikki Mannila, Kurt Mehlhorn : A Fast Algorithm for Renaming a Set of Clauses as a Horn Set. Inf. Process. Lett. 21 (5): 269-272 (1985) Ralph-Johan Back , Heikki Mannila: On the Suitability of Trace Semantics for Modular Proofs of Communicating Processes. Theor. Comput. Sci. 39 : 47-68 (1985) Heikki Mannila: Measures of Presortedness and Optimal Sorting Algorithms (Extended Abstract). ICALP 1984 : 324-336 Heikki Mannila, Esko Ukkonen : A Simple Linear-Time Algorithm for in Situ Merging. Inf. Process. Lett. 18 (4): 203-208 (1984) Ralph-Johan Back , Heikki Mannila: A Semantic Approach to Program Modularity Information and Control 60 (1-3): 138-167 (1984) Ralph-Johan Back , Heikki Mannila, Kari-Jouko Räihä : Derivation of Efficient DAG Marking Algorithms. POPL 1983 : 20-27 Heikki Mannila, Kari-Jouko Räihä : On the Relationship of Minimum and Optimum Covers for a Set of Functional Dependencies. Acta Inf. 20 : 143-158 (1983) Ralph-Johan Back , Heikki Mannila: Locality in Modular Systems. ICALP 1982 : 1-13 Ralph-Johan Back , Heikki Mannila: A Refinement of Kahn's Semantic to Handle Non-Determinism and Communication (Extended Abstract). PODC 1982 : 111-120 1 [ 123 ] 2 [ 51 ] 3 [ 38 ] 4 [ 98 ] 5 [ 69 ] 6 [ 69 ] [ 77 ] 7 [ 1 ] [ 2 ] [ 4 ] [ 5 ] [ 8 ] 8 [ 95 ] [ 101 ] [ 114 ] 9 [ 63 ] [ 91 ] 10 [ 72 ] [ 83 ] 11 [ 93 ] 12 [ 63 ] [ 65 ] [ 73 ] [ 74 ] [ 87 ] [ 91 ] 13 [ 35 ] [ 37 ] [ 39 ] [ 45 ] [ 60 ] [ 61 ] 14 [ 113 ] 15 [ 106 ] [ 107 ] 16 [ 31 ] 17 [ 118 ] [ 119 ] 18 [ 69 ] [ 77 ] 19 [ 120 ] 20 [ 112 ] [ 117 ] [ 121 ] [ 123 ] [ 127 ] 21 [ 35 ] [ 37 ] [ 39 ] [ 61 ] 22 [ 108 ] 23 [ 63 ] [ 64 ] [ 65 ] [ 68 ] [ 91 ] [ 110 ] 24 [ 98 ] [ 108 ] 25 [ 56 ] 26 [ 71 ] 27 [ 113 ] 28 [ 96 ] 29 [ 111 ] 30 [ 47 ] 31 [ 50 ] 32 [ 102 ] 33 [ 90 ] [ 99 ] [ 105 ] 34 [ 47 ] 35 [ 64 ] [ 79 ] [ 110 ] 36 [ 24 ] [ 25 ] [ 28 ] [ 32 ] [ 41 ] [ 44 ] [ 45 ] [ 49 ] 37 [ 27 ] [ 29 ] [ 34 ] [ 40 ] [ 43 ] 38 [ 124 ] 39 [ 42 ] [ 56 ] [ 70 ] [ 72 ] [ 76 ] [ 78 ] [ 80 ] [ 83 ] 40 [ 113 ] [ 124 ] 41 [ 75 ] 42 [ 96 ] 43 [ 117 ] 44 [ 98 ] [ 108 ] 45 [ 102 ] 46 [ 116 ] 47 [ 103 ] 48 [ 74 ] 49 [ 77 ] 50 [ 113 ] 51 [ 88 ] 52 [ 9 ] 53 [ 115 ] 54 [ 84 ] 55 [ 108 ] 56 [ 103 ] 57 [ 38 ] 58 [ 75 ] 59 [ 90 ] 60 [ 90 ] 61 [ 99 ] 62 [ 81 ] [ 86 ] [ 109 ] 63 [ 113 ] 64 [ 113 ] 65 [ 116 ] 66 [ 71 ] [ 98 ] 67 [ 102 ] 68 [ 3 ] [ 4 ] [ 11 ] [ 12 ] [ 14 ] [ 16 ] [ 18 ] [ 21 ] [ 22 ] [ 26 ] [ 30 ] [ 33 ] 69 [ 118 ] [ 119 ] 70 [ 124 ] 71 [ 74 ] 72 [ 42 ] [ 56 ] [ 62 ] [ 73 ] 73 [ 79 ] 74 [ 94 ] [ 105 ] [ 125 ] [ 126 ] 75 [ 68 ] [ 110 ] 76 [ 99 ] [ 101 ] [ 111 ] [ 114 ] [ 121 ] [ 122 ] 77 [ 90 ] 78 [ 110 ] 79 [ 74 ] [ 81 ] [ 86 ] [ 89 ] [ 93 ] [ 109 ] 80 [ 51 ] 81 [ 120 ] 82 [ 96 ] 83 [ 36 ] [ 42 ] [ 46 ] [ 47 ] [ 51 ] [ 53 ] [ 54 ] [ 56 ] [ 58 ] [ 59 ] [ 64 ] [ 70 ] [ 75 ] [ 76 ] [ 78 ] [ 90 ] [ 96 ] [ 106 ] [ 107 ] [ 110 ] 84 [ 127 ] 85 [ 6 ] [ 13 ] [ 15 ] [ 17 ] [ 19 ] [ 20 ] [ 23 ] [ 29 ] [ 40 ] [ 49 ] [ 113 ] [ 124 ] 86 [ 113 ] 87 [ 90 ] 88 [ 36 ] [ 42 ] [ 46 ] [ 51 ] [ 58 ] [ 80 ] 89 [ 40 ] 90 [ 31 ]  ©2005 Association for Computing Machinery |
